Discover AI Projects with Vollna's Powerful Tools

Superpositional builds a control plane for software engineering. As AI makes code cheap, the bottleneck becomes consequence: what breaks, what drifts, and what this change means for the whole system.

We’re building the system graph that lets agents act with constraints, not vibes.

You will operate end-to-end across the surface area of the product. You will bring product judgement to engineering decisions. Roadmap ownership sits with me for now, and we will delegate it over time as the system and the team mature.

### What “product systems engineer” means here

- You are a product-minded generalist engineer first.
- You use AI tools as leverage, not as authority.
- You distrust AI outputs by default, then you verify with constraints, tests, types, and instrumentation.
- You sit outside the hype curve. You apply cool-headed pragmatism to build what works.
- You are comfortable on the bleeding edge when it buys speed or capability, and sceptical when it buys novelty only.
- You optimise systems to staggering efficiency, but only once the system demands it.
- You treat code as a liability. We still need it, so we own the least we can and distil the rest into high-value, well-factored pieces.

### What you’ll do

- Build end‑to‑end product surfaces: UX → API → storage → infra → observability → rollout.
- Ship serverless systems on AWS (S3, Lambda, IAM, queues, eventing) with clear boundaries, failure modes, and cost behaviour.
- Use **SST v4** to move fast without turning infra into a bespoke snowflake.
- Write real production code in **TypeScript** and **Rust** where it matters (performance, correctness, interfaces, operational control).
- Own the full feedback loop: instrument, measure, debug, and iterate until the system behaves.
- Treat AI agents as force multipliers: decompose work into tasks, define interfaces, validate outputs, and keep the system coherent.

### What “AI‑first” means here

We don’t want “prompt engineers”. We want engineers who can:

- Specify work as constraints + interfaces + tests.
- Delegate to agents, then verify with instrumentation, types, and invariants.
- Keep a clean mental model of the system while shipping quickly.

### Our stack (what you’ll touch)

- **Frontend:** React, Next.js
- **Backend:** TypeScript, Node, serverless patterns
- **Infra:** AWS + SST v4, event-driven systems
- **Systems code:** Rust (selectively, with intent)

### What we’re looking for

- A whole‑shebang engineer. You don’t hand off “the hard part” to someone else.
- Systems thinking. You reason about behaviour under load, partial failure, retries, queue backpressure, idempotency, and cost.
- Strong product instincts. You can build something people use, not just something that compiles.
- Comfort operating in ambiguity. You turn fuzzy goals into concrete interfaces and shipped artefacts.
- High standards for correctness without ceremony.

### Signals we like (examples, not requirements)

- You’ve shipped a serverless product end‑to‑end.
- You’ve built a React/Next UI that talks to real APIs with real error states.
- You’ve owned production incidents and can explain the root cause and the invariant that would have prevented it.
- You’ve used AI tools seriously, and you’ve learned where they fail.

### Why this role exists

We’re early. The product and the system are still being shaped. Your work will define the initial architecture, the shipping cadence, and the standards for how we use agents in production engineering.

We are looking for someone who lives and breathes AI—not just as a user, but as a builder, experimenter, and strategic thinker.

This is not an engineering role and it is not primarily an execution role.

We are looking for someone who can look at our business and continuously ask:

1. Where should we be investing our time and resources?
2. What emerging AI technologies should we be paying attention to?
3. What workflows should we rethink?
4. What opportunities are we missing?
5. How can we upgrade the way we upgrade?

You'll act as a thought partner to leadership, helping us stay ahead of the curve while identifying practical opportunities to improve how we operate, serve clients, and build our business.

ABOUT US
We're an AI-focused company that spends an unhealthy amount of time testing new tools, workflows, models, agents, automations, and emerging technologies.

We're looking for someone who shares that curiosity and obsession—but who also has enough real-world business experience to separate hype from value.


WHO WE'RE LOOKING FOR
You likely have 5+ years of business experience in one or more of the following:

- Operations
- Project Management
- Sales
- Marketing
- Communications
- HR
- Consulting

You do not need to be a software engineer.

However, you should be highly AI-enabled and comfortable experimenting with technology yourself.

Examples of the type of person we're looking for:

1. You've built sophisticated AI workflows for yourself or your team.
2. You maintain a personal knowledge system (Obsidian, Notion, Logseq, etc.).
3. You regularly test new models, agents, MCPs, automation tools, and AI products.
4. You've built custom solutions using no-code, low-code, or code.
5. You have side projects, experiments, repositories, or documented systems you're proud of.
6. You naturally think in systems, leverage, and optimization.


RESPONSIBLITIES
- Identify opportunities to improve our business using AI.
- Evaluate emerging technologies, tools, and frameworks.
- Recommend where we should invest our attention and resources.
- Challenge existing assumptions and processes.
- Conduct research and small experiments.
- Provide strategic recommendations to leadership.
- Help shape the future direction of our AI initiatives.


WHAT SUCCESS LOOKS LIKE
After working with us, we should be saying:
"We never would have thought of that."
"That's a better way to do it."
"We should be experimenting with this immediately."
"This gives us a competitive advantage."


ENGAGEMENT DETAILS
- Remote
- Anywhere in the world
- Approximately 5–10 hours per week
- Budget: ~$1,000/month
- Long-term opportunity for the right person

We are hiring for judgment, curiosity, and strategic thinking—not technical credentials.

• What is the most impressive AI workflow or solution you've personally built?
• What AI technologies, models, or tools are you most excited about right now and why?
• If you joined our company tomorrow, what are the first three things you would want to learn about the business before making AI recommendations?
• What is one contrarian AI opinion you hold that most people disagree with?

Please refer to the attachment for full details
 Reference Code: GHLSETUP-003 | Long-Term Engagement | 100% Performance-BasedAbout This Opportunity
We are launching a white-label Go High Level (GHL) agency targeting the US market. We need a skilled GHL setup and delivery specialist or small team to onboard new clients, configure their GHL sub-accounts, deliver our full suite of GHL-powered services, and ensure every client goes live cleanly, completely, and professionally.
This is a long-term, on-demand engagement. When a client is closed by our Sales team, the baton passes to you. Your job is to set them up fast in GHL, configure everything correctly, document it thoroughly, and make the client feel they made the right decision signing up.
This is not a basic GHL admin role. We expect professionals with deep, hands-on GHL expertise across the full GHL product suite — someone who can build, configure, test, and deliver complex GHL environments independently from a handoff brief without constant supervision.
Engagement Model
This engagement operates on a purely on-demand and project-based model. There is no monthly confirmation process, no fixed schedule, and no recurring work obligation on either side.
You are on standby and activated per written project commission or per client handoff brief. Once either is received, acknowledge and confirm start within 4 business hours.
GHL Niche / Industry / Vertical Snapshot Builds
Triggered at the start of the engagement for initial GHL snapshot builds and then on an as-needed written commission basis thereafter.
DeliverableTriggerGHL Niche / Industry / Vertical snapshot buildsWritten commission at engagement startNew GHL niche snapshot additionsWritten commission as neededGHL snapshot updates or revisionsWritten commission as neededInternal GHL delivery workflow or checklist buildsWritten commission as needed
Snapshot Pricing
$150 flat total for 3 niches total — this is the all-in price covering everything listed below across all niches in the set. No additional charges within this package.
Snapshots are to be enabled at the start of the engagement and as needed thereafter. They are built once and deployed repeatedly across multiple clients in the same niche — making every subsequent client onboarding in that niche faster and more consistent.
What Is IncludedDetailGHL Niche / Industry / Vertical snapshots3 GHL snapshots built, configured, and deployment-ready — $150 covers all niches in the setGHL pipeline structureTailored pipeline stages built for each niche's typical sales and service flowNiche-specific GHL automation workflowsFollow-up sequences, lead nurture flows, appointment reminders, and niche-relevant automationsGHL email and SMS templatesWritten and loaded niche-specific templates ready for deploymentGHL calendar and appointment schedulingConfigured for the specific business type and booking flowGHL review request and reputation automationSet up and ready to deploy per nicheGHL lead capture forms and surveysNiche-relevant forms built and readyAny other niche-specific GHL pre-configurationsAll relevant GHL elements for that business type includedGHL staging testEvery GHL automation, form, and workflow confirmed functional in staging before deliveryFull GHL snapshot documentationComplete snapshot guide per niche — overview, included elements, deployment instructions, per-client customization checklist, and post-deployment verification steps60-day post-delivery GHL supportIncluded — covers GHL snapshot deployment questions, fixes, and adjustments for 60 days from delivery date
Snapshot VolumePrice3 GHL niches$150 flat — total, all-in, no additional chargesEach additional set of 3 GHL niches$150 flat per set, total
Example: We commission (i.e. start) GHL snapshots for 3 niches — Home Services, Dental, and Fitness → $150 total, all-in. We later commission 2 more niches — Real Estate and Legal → additional $150 flat for that set.
On-Demand Client Deliverables
Triggered only when a new client is closed and handed off. No work begins without a written client handoff brief from us.
DeliverableTriggerGHL sub-account creation and white-label brandingNew client handoff brief receivedGHL client onboarding steps and orientationNew client handoff brief receivedGHL feature and capability configuration (per tiered pricing below)New client handoff brief receivedData migration from up to 2 existing systems into GHLNew client handoff brief receivedGHL website, funnel, or landing page buildNew client handoff brief receivedGHL third-party integrationsNew client handoff brief receivedAll client documentation — GHL how-to guides, feature reference sheets, migration reports, go-live checklistsNew client handoff brief receivedGo-live verification and sign-offNew client handoff brief received60-day post-go-live GHL supportAutomatically included with every onboarding
What You'll Do
Receive client handoff briefs from our Sales team and execute full GHL sub-account setup and onboarding from scratch
Build and deploy GHL niche, industry, or vertical snapshots as commissioned — pre-configured GHL templates tailored to specific business types — see snapshot pricing above
Create and configure white-labeled GHL sub-accounts — fully branded, tested, and ready for production use
Deploy the full range of purchased GHL features and capabilities for each client — configured, tested, and production-ready including but not limited to:
Funnels, websites, and landing pages
Automated workflows and pipelines
Calendars and appointment scheduling
Reputation management and review automation
Conversation AI and chat widgets
Email and SMS marketing campaigns
Membership and course areas
SaaS Mode configuration and snapshot management
Two-way texting, missed call text-back, and voicemail drops
Lead capture forms and surveys
Social media auto-posting
Payment and invoicing setup
Reporting and dashboard configuration
Import, migrate, and map client data from up to 2 existing systems into GHL — CRM platforms, spreadsheets, legacy databases, or other sources — contacts, pipelines, tags, notes, and relevant history
Build client-facing GHL assets — websites, landing pages, funnels, booking pages, and more
Integrate third-party tools with GHL as needed — Zapier, Make, Twilio, Mailgun, Stripe, Google Business Profile, Facebook Ads Manager, and others
White-label all GHL client-facing elements to match the client's branding — logos, colors, custom domain, and messaging
Produce all required documentation for every onboarding — GHL how-to guides, feature reference sheets, migration reports, go-live checklists, and snapshot guides
Conduct a thorough GHL go-live check — confirm all features work, all integrations are live, all data is correctly migrated, all documentation is complete, and the client's GHL environment is fully production-ready
Provide 60 days of post-go-live GHL support for every onboarding — included in the base price
Proactively identify and recommend additional GHL features, non-GHL complementary tools, or services that would benefit the client — flag these to our Sales team as upsell opportunities
Stay current on GHL feature releases and platform updates — proactively suggest upgrades or new configurations to existing clients


Skills: XHTML, Open Source, Programming, Web Scraping, Data Extraction, Artificial Intelligence, Chatbots, Java Spring, Next.js

We are looking for an exceptional AI Systems Architect to work directly with the founder of a fast-growing consumer brand and biotechnology company.

This role is for someone who understands how to leverage AI, automation, integrations, data, and software to create operational leverage across an entire organization.

The ideal candidate is not just a prompt engineer or automation specialist. We are looking for a builder who can evaluate business processes, identify opportunities for automation, and design intelligent systems that save time, improve decision-making, and increase efficiency.

What You'll Do

• Build AI-powered workflows and agents that automate research, reporting, operations, sales, customer service, and internal processes.

• Integrate business systems including Shopify, CRM platforms, email platforms, databases, spreadsheets, accounting software, and third-party applications.

• Design dashboards and reporting systems that consolidate data across multiple platforms.

• Develop custom AI agents and assistants that can analyze information, generate insights, and perform business tasks.

• Identify repetitive workflows and create scalable automation solutions.

• Advise on the latest AI tools, platforms, and technologies that can improve company operations.

• Work directly with the founder to continuously improve systems, processes, and decision-making.

Ideal Candidate

• Strong understanding of AI tools, large language models, AI agents, automation platforms, and workflow design.

• Experience integrating platforms such as Shopify, HubSpot, Klaviyo, Gmail, Slack, Notion, Airtable, Google Workspace, APIs, and other business systems.

• Comfortable working across both technical and business challenges.

• Strong problem-solving skills and ability to independently design solutions.

• Experience building custom automations, integrations, dashboards, and AI-powered workflows.

• Ability to learn quickly and adapt as AI technology evolves.

• Entrepreneurial mindset with a bias toward action.

Bonus Experience

• E-commerce and Shopify ecosystems.

• Consumer products (CPG), health and wellness, food, biotech, or startup environments.

• Data analytics and business intelligence.

• Custom software development and API integrations.

• AI agent platforms and emerging AI technologies.

What Success Looks Like

Within the first 90 days, you will identify and implement several high-impact automation opportunities that save significant founder and team time, improve reporting visibility, and create scalable systems across the business.

Please see attached document and brief for the automation element. This is for an internal tool at our PR agency. Intro below, full brief attached:

Overview
SAIDE is an AI-powered PR intelligence platform designed to analyse media coverage, identify editorial and
PR trends, and help communications professionals create stronger, more newsworthy campaign ideas.
The platform will be accessed via a chatbot-style interface (frontend/UX to be built separately by Stakked).
The backend AI system will ingest and analyse media coverage at scale, classify stories, identify emerging
patterns, and provide strategic recommendations to PR teams.

The goal is to create an AI strategist that understands how media works, how PR generates coverage, and
what journalists are increasingly responding to.

Job Details

Opportunity to shape and scale the AI strategy for a growing research and advisory organization.
Work directly with the Founder, CIO, CTO, senior technology leaders, and executive team as required.
Build transformative AI capabilities that enhance products and internal platforms.
Join a collaborative, high-performance Application Development team with a strong innovation mandate.
Collaborate with world-class analysts who cover the AI space.


Position Summary

The AI Architect is a senior technical leader responsible for designing, governing, and scaling AI solutions across the enterprise. This role provides architectural direction for machine learning, generative AI, and intelligent automation capabilities that integrate directly with customer-facing applications, internal platforms, and enterprise data systems.

The AI Architect partners closely with other domain specific architects, software development teams, data engineering, security, and product stakeholders to deliver high quality, secure, and high performing AI systems that align with the organization's technical strategy and standards.



Key Responsibilities

AI Strategy and Architecture

- Define and maintain the enterprise AI architecture blueprint and reference models.
- Evaluate and select AI platforms, frameworks, vector databases, LLMs, and tooling for application integration.
- Provide architectural leadership for generative AI and agentic workflows in products and internal applications.
- Establish patterns for retrieval augmented generation (RAG), model orchestration, and evaluation pipelines.
- Partner with Data & Analytics to design end to end data flows that support AI workloads, including ingestion, transformation, storage, and retrieval patterns that ensure accuracy and performance.
- Ensure AI solutions integrate cleanly with enterprise data ecosystems by defining standards for metadata, lineage, governance, and interoperability across operational systems, data pipelines, and analytical platforms.


Solution Design and Delivery

- Lead end-to-end architecture for AI powered features, including model integration, API design, data flows, and security controls.
- Work with development teams to ensure AI components are modular, scalable, and resilient.
- Guide teams in fine tuning, prompt engineering, model optimization, and inference best practices.
- Oversee architectural reviews and provide hands-on technical support during implementation.


Governance, Risk, and Security

- Partner with Security and Compliance teams to ensure AI systems follow responsible AI principles and risk controls.
- Define processes for model monitoring, safety evaluations, versioning, data lineage, and auditability.
- Ensure adherence to data privacy, intellectual property, and regulatory standards.


Collaboration and Leadership

- Advise the CIO, CTO, and senior leadership on emerging AI technologies and strategic opportunities.
- Mentor developers and technical leads to build organizational capability in AI engineering.
- Work cross-functionally with product management to translate business needs into AI architectural patterns.
- Represent the Application Development team in AI governance and enterprise architecture forums.
Interface and knowledge share with domain experts in Research and Advisory groups.


Operational Excellence

- Define performance benchmarks, cost optimization strategies, and operational metrics for AI services.
- Establish standards for observability, logging, testing, and ongoing evaluation of AI models.
- Drive continuous improvement by identifying technical debt and architectural refinements.


Qualifications

Education and Experience

- Bachelor’s degree in Computer Science, Engineering, or related field required. Master’s degree or beyond preferred.
8+years in software engineering or application architecture roles with at least two plus years focused on AI or machine learning.
- Hands-on experience with cloud-based AI platforms such as Azure OpenAI, AWS Bedrock, or Google Vertex AI.
- Experience deploying LLM based solutions at scale.
- Strong background in APIs, and enterprise application design.


Technical Skills

- Deep understanding of AI and ML concepts including LLMs, embeddings, vector search, supervised and unsupervised learning, and model lifecycle management.
- Proficiency with Python and one or more application development languages such as Ruby on Rails, C#, or Java.
- Experience with model orchestration frameworks, prompt engineering, and evaluation techniques.
- Familiarity with DevOps practices, CI/CD pipelines, and cloud infrastructure.
- Strong understanding of security, privacy, and responsible AI principles.


Soft Skills

- Excellent verbal and written communication skills with the ability to explain complex AI concepts to non-technical stakeholders.
- Commitment to considering user needs and perspectives when designing systems.
- Strong leadership presence and the ability to influence without authority.
- Collaborative mindset with a focus on delivering business value.
- High degree of curiosity, innovation, and a desire to stay current with rapid advancements in AI.

• Describe your recent experience with similar projects
• Please list any certifications related to this project
• How do you operationalize your projects?

We are looking for an experienced AI Agent Developer* to build custom AI agents using Python, LangChain, RAG, OpenAI API, and automation tools.

The main goal is to create AI agents that can understand tasks, retrieve information, make decisions, and automate workflows through APIs and connected tools.

You should have experience with Artificial Intelligence, AI Agent Development, Retrieval Augmented Generation, Large Language Models, LLM Prompt Engineering, Agent GPT, Chatbot development, n8n, Make.com, Flask, APIs, and automated workflows*.

Responsibilities

•⁠ ⁠Build custom AI agents using Python and LLM APIs
•⁠ ⁠Create RAG-based systems using documents, databases, or knowledge bases
•⁠ ⁠Connect AI agents with APIs, tools, and automation platforms
•⁠ ⁠Set up automated workflows using n8n, Make.com, or similar tools
•⁠ ⁠Develop chatbot or Agent GPT-style solutions
•⁠ ⁠Add prompt engineering, retrieval, memory, and tool-calling logic
•⁠ ⁠Test, debug, and improve AI agent performance
•⁠ ⁠Document the setup clearly

Requirements

•⁠ ⁠Strong experience with Python
•⁠ ⁠Experience with Artificial Intelligence and Large Language Models
•⁠ ⁠Hands-on experience with OpenAI API
•⁠ ⁠Experience with AI Agent Development
•⁠ ⁠Experience with Retrieval Augmented Generation
•⁠ ⁠Strong LLM Prompt Engineering skills
•⁠ ⁠Experience with n8n, Make.com, or automated workflow tools
•⁠ ⁠Ability to build reliable AI agents, chatbots, and automation systems
•⁠ ⁠Flask experience is a plus

Please apply with examples of AI agents, RAG systems, chatbots, or automation workflows you have built.

We are looking for reliable and detail-oriented remote contributors to participate in an exciting AI training data collection project. As a contributor, you will record first-person POV (Point of View) videos of everyday household activities using a smartphone mounted on a head strap.

The collected data will help train and improve next-generation Artificial Intelligence and Robotics systems, contributing to the development of advanced real-world AI applications.

Eligible Locations
We are currently onboarding contributors from:
Canada
Mexico
Brazil
Colombia
Argentina

Device Requirements
Apple iOS
iPhone 11 through iPhone 17 series
Excluding iPhone 16e and iPhone 17e

Android
Google Pixel 6 through Pixel 9
Samsung Galaxy S21 through S24 series

What You Will Do
Record natural first-person POV videos while performing everyday household activities, including:
Cleaning and tidying
Washing dishes
Organizing household items
Kitchen-related activities
General home routines

Project Requirements
Head-mounted smartphone strap (required)
Stable internet connection
Well-lit recording environment
Both hands must remain visible during recording
Natural behavior and movement

Recording Guidelines
Recording duration: 2 to 30 minutes per session
One activity/task per recording session
Follow provided project instructions carefully

Additional Information
No audio recording required
100% remote participation
Flexible working schedule
Training materials and guidelines will be provided
Long-term contributors are highly preferred

Compensation
$4 per approved hour.

How to Apply
Please include the following information in your proposal:
Current country of residence
Smartphone model
Weekly availability
Previous experience with data collection, annotation, or AI-related projects (if applicable)

We look forward to working with motivated contributors who can provide high-quality recordings and support the development of cutting-edge AI technology.

26ers is building Human + AI operating systems that help organizations improve decision quality, execution speed, and organizational leverage.

We are seeking an AI Solutions Architect who can transform customer discovery outputs into actionable solution designs, implementation plans, delivery-ready architectures, and implementation guidance for technical delivery teams.

This role works closely with customer-facing architects and leadership teams to transform discovery outputs into practical AI system designs that can be implemented by technical delivery teams.

The ideal candidate can rapidly leverage AI tools and structured methodologies to convert meeting transcripts, workshop outputs, workflow assessments, and business requirements into solution blueprints, implementation plans, statements of work, architecture documentation, and developer-ready guidance.

Responsibilities

• Review discovery notes, workshop outputs, meeting transcripts, and business requirements

• Analyze current-state workflows and identify AI transformation opportunities

• Design Human + AI operating models, agentic workflows, and operational systems that improve execution and decision-making

• Create solution blueprints, implementation plans, technical requirements, and statements of work

• Translate business objectives into delivery-ready architecture documents

• Produce high-quality architecture deliverables that enable efficient implementation by developers and delivery teams

• Collaborate with customer-facing architects, implementation developers, and technical delivery teams

• Design systems that incorporate governance, security, compliance, and operational requirements

• Contribute to reusable 26ers methodologies, frameworks, templates, and institutional knowledge

• Design systems that capture, structure, and operationalize organizational knowledge and institutional learning

• Review and validate AI-generated architecture outputs, recommendations, and implementation artifacts for completeness, accuracy, and operational viability


Ideal Experience

• Experience designing AI-powered business workflows and operational systems

• Strong understanding of OpenAI, Claude, and modern LLM-based solution design

• Experience using AI tools to accelerate solution design, documentation, analysis, and architecture development workflows

• Experience with workflow orchestration platforms, AI agents, automation systems, and API-based architectures

• Strong understanding of data governance, information security, and enterprise AI deployment considerations

• Experience translating business requirements into solution architectures, implementation plans, statements of work, and technical documentation

• Experience creating implementation blueprints and delivery documentation for engineering teams

• Strong business analysis and workflow mapping capabilities

• Experience conducting current-state and future-state process analysis

• Strong written communication skills and ability to produce executive-ready deliverables

• Ability to leverage AI tools to rapidly produce architecture drafts, blueprints, requirements documents, implementation plans, training materials, and customer deliverables


Nice to Have

• Experience with Gemini, MCP, LangGraph, CrewAI, AutoGen, or similar orchestration frameworks

• Experience with n8n, Make, Zapier, or workflow automation platforms

• Experience with vector databases, RAG architectures, and organizational knowledge systems

• Experience building or deploying multi-agent systems

• Government, healthcare, financial services, or other regulated industry experience

• Startup, founder, or early-stage company experience

• Experience designing systems that capture institutional knowledge, operational learning, or organizational intelligence

• Military, consulting, enterprise software, or transformation leadership experience


Success in this Role

• Effectively leverage AI to increase architecture throughput while maintaining quality, governance, and implementation readiness

• Quickly transform customer conversations and discovery outputs into structured solution designs

• Produce clear implementation plans that developers can execute against

• Create high-quality architecture blueprints, statements of work, and delivery documentation

• Reduce the time required to move from customer discovery to implementation readiness

• Balance innovation, governance, security, and operational realities

• Help organizations move from AI experimentation to operational execution


Application

Please include:

• A brief overview of your relevant experience

• Examples of solution blueprints, architecture diagrams, statements of work, implementation plans, or technical documentation you have created

• The AI platforms, orchestration frameworks, and automation tools you have used in production environments

• An example of how you would transform a customer discovery conversation into an implementation-ready solution design

This role may begin on a contract basis and expand into a longer-term strategic partnership as 26ers grows.

• A customer provides a one-hour discovery call transcript and asks for an AI solution recommendation. What deliverables would you create before handing work to implementation developers?
• Describe a project where you transformed business requirements into an implementation-ready architecture, blueprint, or statement of work.
• Which AI tools do you use regularly to accelerate solution design, architecture development, documentation, or workflow analysis?
• Please provide an example architecture document, solution blueprint, implementation plan, workflow design, or statement of work that demonstrates your approach.

Title: Full-Stack AI Developer Needed — Web App, AI Features, Security-Aware Development

Description:

We are looking for a strong full-stack developer with AI development experience to help build and improve an AI-powered web platform.

The ideal candidate should be comfortable working across the full stack, including frontend, backend, database, cloud deployment, APIs, authentication, and AI/LLM-related features. We are not only looking for someone who can connect to an AI API, but someone who can think carefully about system design, reliability, data security, and production-quality implementation.

Responsibilities may include:

* Build and improve frontend features using React / Next.js or similar frameworks
* Develop backend APIs using Node.js, Python, FastAPI, Django, or similar tools
* Design database schemas and work with PostgreSQL, Supabase, Firebase, or similar systems
* Integrate AI/LLM features such as OpenAI API, Claude, Gemini, embeddings, RAG, agents, or workflow automation
* Implement user authentication, permissions, and secure data handling
* Improve system reliability, logging, monitoring, and error handling
* Help design scalable architecture for an AI-powered product
* Review and improve security practices, including API key management, input validation, access control, and protection against common web vulnerabilities

Required skills:

* Strong full-stack web development experience
* Experience building production web applications
* Experience with AI/LLM APIs or AI-powered product features
* Backend API design experience
* Database experience
* Basic security knowledge, especially around authentication, authorization, secrets management, and OWASP-style web security issues
* Ability to write clean, maintainable code
* Good communication and ability to work independently

Nice to have:

* Experience with RAG, vector databases, agents, or AI workflow automation
* Experience with cloud deployment on AWS, GCP, Vercel, Render, Railway, or similar platforms
* Experience with Supabase, Firebase, or PostgreSQL
* Experience with Stripe/payment integration
* Experience with admin dashboards, analytics, or internal tools
* Experience reviewing code for security and reliability

What we are looking for:

We want someone who can act like a technical builder, not just a task executor. You should be able to understand the product goal, suggest better technical approaches, identify security risks, and build features that are stable enough for real users.

Please include in your application:

1. Examples of full-stack applications you have built
2. Examples of AI/LLM-related features you have built
3. Your preferred tech stack
4. How you usually handle authentication, API security, and private user data
5. Your availability and hourly rate

We may start with a small paid trial task, and if it goes well, this can become a longer-term collaboration.

AI / Deep Learning Marketing Partner (Long-Term | Base + Unlimited Performance Bonus)
Overview
I'm looking for a creative and motivated marketer with an interest in Artificial Intelligence, Deep Learning, Machine Learning, Python, Data Science, or Software Engineering to help promote a growing AI education project.
This is a long-term, performance-driven partnership, not a one-time posting job.
Every marketer receives their own Amazon Attribution link, allowing every click and sale to be measured transparently.
If you're passionate about AI and enjoy building communities, creating content, and helping people discover valuable resources, I'd love to work with you.
The Book
Deep Learning: From Curiosity to Mastery
Volume 1
https://www.amazon.com/dp/B0GKC4L5FM
Volume 2
https://www.amazon.com/dp/B0GKDK9F9S
The books cover:
Deep Learning fundamentals
PyTorch
CNNs
RNNs
Transformers
NLP
GANs
Diffusion Models
Reinforcement Learning
Explainable AI
MLOps
Model Deployment
Practical projects and code
Designed for:
Students
Software Engineers
Researchers
Educators
AI enthusiasts
Career changers
Compensation:
1. Base Compensation
$10 USD per month
2. Performance Bonus
First 30 verified sales during a 30-day period:
$2 USD per verified sale
Every verified sale above 30:
$3 USD per verified sale
Examples
30 sales
30 × $2 = $60 bonus
150 sales
First 30 sales:
30 × $2 = $60
Remaining 120 sales:
120 × $3 = $360
Total Bonus = $420
300 sales
First 30 sales:
30 × $2 = $60
Remaining 270 sales:
270 × $3 = $810
Total Bonus = $870
There is no limit on bonus earnings.
Bonuses are calculated monthly and paid 60 days after the applicable period based on verified Amazon Attribution reports.
Your Responsibilities
Build and maintain a network of high-intent AI communities.
Examples include:
Reddit
Quora
LinkedIn
Facebook Groups
Discord
AI newsletters
AI blogs
University AI clubs
Machine Learning communities
Python communities
Data Science groups
You should aim to build a list of at least 100 to 200 relevant communities and channels.
Whenever possible:
Answer questions
Participate in discussions
Share educational content
Support existing conversations
Publish helpful posts
The objective is to create value and trust, not simply post links.
Marketing Guidelines
Please:
Be honest and authentic
Never spam communities
Follow platform rules
Never create fake reviews
Never misrepresent the book
Recommend it only when genuinely relevant
Focus on helping people learn
Long-term credibility is far more important than short-term clicks.
Performance Expectations
Performance is reviewed every 30 days.
To remain active, you must generate at least 5 verified Amazon Attribution sales during each 30-day period.
Contractors generating fewer than 5 verified sales during a review period may be removed from the program.
Why This Project?
Artificial Intelligence is one of the fastest-growing industries in the world.
Universities continue to expand AI programs.
Companies across healthcare, finance, cybersecurity, robotics, and software engineering are investing billions of dollars into AI initiatives.
The demand for practical, beginner-friendly AI education continues to grow rapidly.
This project has been continuously improved through technical reviews and feedback from experienced engineers, AI practitioners, educators, and readers.
If you enjoy creating content, building communities, and introducing valuable educational resources to the right audience, this project offers the opportunity to build recurring performance-based income with unlimited upside.
Ideal Candidate
Interest in AI, Machine Learning, or Technology
Strong written English
Creative and self-motivated
Experience with online communities or content marketing
Comfortable working independently
Long-term mindset
To Apply
Please include:
A short introduction.
In your own words: What did you understand the compensation to be?
I'm looking for a long-term partner who wants to grow together and build something meaningful in one of the fastest-growing fields in technology.


Skills: Python, Machine Learning, Mathematics, Artificial Intelligence, Statistical Analysis, Deep Learning

26ers is building Human + AI operating systems that help organizations improve decision quality, execution speed, and organizational leverage.

We are seeking a customer-facing AI Architect who can work directly with executives, operational leaders, and technical teams to design practical AI solutions that solve real business problems.

This role helps organizations identify high-value AI opportunities, redesign workflows, modernize operations, and implement Human + AI operating systems that improve execution, decision-making, and organizational effectiveness.

The ideal candidate can move fluidly between customer conversations, workflow discovery, solution design, governance considerations, and implementation planning.


Responsibilities

• Participate in customer discovery and solution design conversations

• Analyze current-state workflows and identify AI transformation opportunities

• Design Human + AI operating models, agentic workflows, and operational systems that improve execution and decision-making

• Create solution blueprints, implementation plans, and statements of work

• Collaborate with implementation developers and technical delivery teams

• Consider data governance, security, compliance, and operational requirements throughout solution design

• Contribute to the development of reusable 26ers methodologies, frameworks, and institutional knowledge

• Design systems that capture, structure, and operationalize organizational knowledge and institutional learning


Ideal Experience

• Experience designing AI-powered business workflows and operational systems

• Strong understanding of OpenAI, Claude, and modern LLM-based solution design

• Experience with workflow orchestration platforms, AI agents, automation systems, and API-based architectures

• Strong understanding of data governance, information security, and enterprise AI deployment considerations

• Experience translating business requirements into solution architectures, implementation plans, and statements of work

• Customer-facing experience in consulting, solution engineering, professional services, digital transformation, or technical advisory roles

• Experience conducting discovery workshops, workflow assessments, and current-state/future-state design exercises

• Understanding of operating model design, workflow modernization, and organizational transformation

• Strong written and verbal communication skills with executive stakeholders

• Ability to leverage AI tools to rapidly produce architecture drafts, blueprints, requirements documents, implementation plans, training materials, and customer deliverables


Nice to Have

• Experience with Gemini, MCP, LangGraph, CrewAI, AutoGen, or similar orchestration frameworks

• Experience with n8n, Make, Zapier, or workflow automation platforms

• Experience with vector databases, RAG architectures, and organizational knowledge systems

• Experience building or deploying multi-agent systems

• Government, healthcare, financial services, or other regulated industry experience

• Startup, founder, or early-stage company experience

• Experience designing systems that capture institutional knowledge, operational learning, or organizational intelligence

• Military, consulting, enterprise software, or transformation leadership experience


Success in this role

• Quickly understand a client's operating environment, workflows, and business objectives

• Identify high-value opportunities for AI-enabled transformation and operational leverage

• Translate customer goals into practical solution designs, implementation plans, and delivery roadmaps

• Balance innovation, governance, security, and operational realities

• Help organizations move from AI experimentation to operational execution


This role may begin on a contract basis and expand into a longer-term strategic partnership as 26ers grows.

• Describe an AI transformation project you designed. What was the customer's problem, what solution did you recommend, and what measurable business outcome was achieved?
• A customer tells you: "We want AI." What are the first five questions you would ask before recommending a solution?
• Imagine you receive a one-hour discovery call transcript. What deliverables would you create before handing work to implementation developers?
• Which AI tools, platforms, and orchestration frameworks have you used in production environments?
• Please provide one example architecture diagram, solution blueprint, SOW, requirements document, or implementation plan that demonstrates your work.

# Rocket Propulsion System Design & Analysis Project – Capability Assessment Request

Hi

I am looking for an aerospace engineer, propulsion engineer, researcher, or consultant with strong expertise in liquid rocket propulsion to support a comprehensive propulsion engineering project.

Before discussing pricing or timelines, I would like to understand whether you possess the required technical background, software proficiency, and project experience to execute a project of this scope.

This is not a simple academic assignment. The objective is to perform a complete conceptual and preliminary design study of a liquid rocket engine and associated propulsion subsystems using industry-standard methodologies and software.

---

# Project Objective

The goal is to develop a complete propulsion engineering package for a liquid rocket engine from initial requirements through preliminary design, analysis, and verification.

The project should demonstrate the workflow used by propulsion engineers working in organizations such as:

* SpaceX
* Blue Origin
* Rocket Lab
* European Space Agency
* NASA
* ArianeGroup

This project is intended as a propulsion engineering portfolio, learning exercise, and engineering demonstration project.

The project should follow professional aerospace engineering standards, assumptions, documentation, calculations, analyses, and design methodology.

---

# Desired Engine Type

The consultant should be capable of designing and analyzing one or more of the following:

### Option 1

LOX/RP-1 Liquid Rocket Engine

### Option 2

LOX/Methane Liquid Rocket Engine

### Option 3

LOX/LH2 Liquid Rocket Engine

The final selection can be discussed based on feasibility and educational value.

---

# Required Technical Scope

The project should include as many of the following areas as possible.

---

# 1. Mission Requirements Definition

Development of:

* Mission objectives
* Vehicle assumptions
* Delta-V assumptions
* Thrust requirements
* Burn duration
* Propellant selection rationale
* Chamber pressure targets
* Mixture ratio selection
* Performance goals

Deliverables:

* Requirements document
* Design assumptions document
* Mission analysis report

---

# 2. Propellant Selection Trade Study

Comparison of:

* LOX/RP-1
* LOX/Methane
* LOX/LH2

Evaluation criteria:

* Specific impulse
* Density impulse
* Storage complexity
* Cost
* Reusability
* Cooling considerations
* Manufacturing considerations

Deliverables:

* Trade matrix
* Selection justification

---

# 3. Thermochemical Analysis

Use of:

* NASA CEA

Required outputs:

* Adiabatic flame temperature
* Molecular weight
* Characteristic velocity
* Vacuum Isp
* Sea-level Isp
* Equilibrium performance
* Frozen performance

Deliverables:

* Input files
* Output reports
* Interpretation of results

---

# 4. Engine Cycle Selection

Trade study between:

* Pressure-fed
* Gas generator
* Expander cycle
* Staged combustion
* Full-flow staged combustion

Required analysis:

* Advantages
* Disadvantages
* Complexity
* Cost
* Risk

Deliverables:

* Engine cycle selection report

---

# 5. Rocket Engine Sizing

Complete preliminary sizing calculations:

* Thrust
* Mass flow rate
* Chamber pressure
* Mixture ratio
* Expansion ratio
* Characteristic length
* Chamber dimensions

Deliverables:

* Calculation workbook
* Engineering report

---

# 6. Injector Design

Analysis of:

* Showerhead injectors
* Impinging injectors
* Pintle injectors
* Coaxial injectors

Deliverables:

* Selection rationale
* Preliminary sizing
* Injector geometry

---

# 7. Combustion Chamber Design

Design and sizing of:

* Chamber geometry
* Chamber length
* Chamber diameter
* Residence time
* L* calculations

Deliverables:

* Engineering calculations
* CAD model

---

# 8. Nozzle Design

Design of:

* Convergent section
* Throat
* Divergent section

Analysis of:

* Bell nozzle
* Conical nozzle

Required calculations:

* Expansion ratio
* Area ratio
* Exit pressure
* Exit velocity

Deliverables:

* Geometry definition
* CAD model
* Performance report

---

# 9. Regenerative Cooling Analysis

Required:

* Cooling channel concepts
* Heat transfer calculations
* Thermal load estimation
* Coolant pressure drop

Deliverables:

* Thermal report
* Cooling analysis report

---

# 10. Turbomachinery Design (if applicable)

Preliminary design of:

* Fuel pump
* Oxidizer pump
* Turbine

Required calculations:

* Pump power
* Turbine power
* Pressure rise
* Rotational speed

Deliverables:

* Preliminary turbomachinery sizing report

---

# 11. Feed System Design

Development of:

* Tanks
* Feed lines
* Valves
* Pressurization systems

Deliverables:

* Feed system schematic
* Mass estimates

---

# 12. Piping and Instrumentation Diagram (P&ID)

Creation of:

* Complete propulsion architecture

Including:

* Valves
* Sensors
* Pumps
* Tanks
* Flow paths

Deliverables:

* P&ID drawing

---

# 13. CAD Development

Software preferred:

* SolidWorks
* CATIA
* Siemens NX
* Fusion 360

Expected models:

* Injector
* Chamber
* Nozzle
* Feed system
* Assembly model

Deliverables:

* Native CAD files
* STEP files
* Technical drawings

---

# 14. CFD Analysis

Software:

* ANSYS Fluent
* ANSYS CFX
* OpenFOAM
* STAR-CCM+

Potential analyses:

### Internal Flow

* Chamber flow
* Nozzle flow

### Thermal Analysis

* Heat flux
* Wall temperature

### Combustion Analysis

* Simplified combustion modelling

Deliverables:

* Mesh files
* Solver setup
* Results
* Validation discussion

---

# 15. Finite Element Analysis (FEA)

Software:

* ANSYS Mechanical
* Abaqus
* Nastran

Analysis:

* Pressure loading
* Thermal loading
* Structural integrity
* Safety factor

Deliverables:

* FEA report
* Stress plots
* Deformation plots

---

# 16. EcosimPro Modelling

Preferred if consultant has experience.

Required:

* Propulsion system architecture
* Dynamic simulation
* Start-up transient analysis
* Feed system simulation

Deliverables:

* EcosimPro model
* Simulation results

---

# 17. System-Level Modelling

Software:

* MATLAB
* Simulink
* Python
* EcosimPro

Analysis:

* Performance simulation
* Sensitivity analysis
* Parametric studies

Deliverables:

* Model files
* Technical report

---

# 18. Verification and Validation

The consultant should explain:

* Assumptions
* Limitations
* Validation methods
* Comparison with literature

Deliverables:

* Validation report

---

# 19. Mass Budget

Development of:

* Propellant masses
* Structural masses
* Feed system masses
* Engine masses

Deliverables:

* Mass budget spreadsheet

---

# 20. Failure Mode Analysis

Preliminary FMEA covering:

* Combustion instability
* Turbopump failure
* Thermal failure
* Structural failure
* Feed system failure

Deliverables:

* Risk assessment report

---

# Software Experience Required

Please indicate your level of proficiency with:

### Thermochemistry

* NASA CEA
* RPA (Rocket Propulsion Analysis)

### CAD

* SolidWorks
* CATIA
* Siemens NX

### CFD

* ANSYS Fluent
* ANSYS CFX
* OpenFOAM
* STAR-CCM+

### FEA

* ANSYS Mechanical
* Abaqus
* Nastran

### System Simulation

* EcosimPro
* MATLAB
* Simulink

### Programming

* MATLAB
* Python

---

# Deliverables Expected

The final project should ideally include:

### Documentation

* Full engineering report
* Design report
* Trade studies
* Validation reports

### Engineering Calculations

* Rocket performance calculations
* Feed system calculations
* Thermal calculations
* Structural calculations

### CAD

* Complete CAD package

### CFD

* CFD package
* Results
* Reports

### FEA

* Structural package
* Reports

### Simulation

* EcosimPro model
* MATLAB models

### Management Documents

* Statement of Work (SOW)
* Work Breakdown Structure (WBS)
* Deliverables Matrix
* Acceptance Criteria

---

# Questions for the Consultant

1. What is your educational background?

2. Have you worked on rocket propulsion projects before?

3. Have you designed liquid rocket engines?

4. Which propulsion cycles have you worked with?

5. Which of the listed software tools can you use professionally?

6. Can you perform NASA CEA analysis?

7. Can you perform CFD of combustion chambers and nozzles?

8. Can you perform FEA under thermal and pressure loads?

9. Can you develop EcosimPro propulsion models?

10. Can you create complete CAD assemblies?

11. Which portions of the project can you personally complete and which would require subcontracting?

12. Could you provide examples of similar propulsion, aerospace, turbomachinery, CFD, or thermal-fluid projects you have completed?

13. What deliverables would you realistically be able to provide?

14. What timeline would you estimate for completion?

15. What budget range would you estimate for a project of this scope?

Please be candid regarding your experience level, software capabilities, and the portions of the project you would feel comfortable delivering to a professional engineering standard. This will help determine whether there is a good fit for collaboration.

An experienced web developer is required to create a professional, engaging website for a new Artificial Intelligence agency.
The website will focus on presenting the agency and describing the AI ​​services it offers, primarily targeting aesthetic clinics.
The goal is to establish a strong online presence for the agency, which will specialize in marketing Artificial Intelligence agents.

Key website features:
* A modern, clean, and visually appealing design that reflects the innovative nature of Artificial Intelligence.
* A contact form allowing potential clients to request information and quotes.
* Integration of an interactive, 24/7 chatbot capable of answering FAQs about the agency's services, addressing inquiries, and guiding users.

We are looking for a serious professional who is committed to the project's potential and capable of developing a robust, functional online platform that serves as the agency's primary tool for showcasing services and acquiring clients.

Important:

Once the website goes live, I will need to collaborate closely with a freelance AI specialist to implement the projects commissioned by clients.

Skills: Amazon Web Services, NLP

I’m building a platform that uses artificial intelligence to plan, execute, and learn from performance tests. The goal is to move beyond simple scripting and give engineering teams real-time insights and self-tuning recommendations while their applications are under load.

Here’s what I need:
• A modular architecture that lets me plug in existing test runners (JMeter, Gatling, k6, etc.) and stream raw metrics into a unified data layer.
• Machine-learning components that detect anomalies, flag bottlenecks automatically, and predict capacity limits based on historical runs.
• A lightweight dashboard (React, Vue, or similar) that visualises throughput, latency, error rates, and any AI-generated recommendations.
• REST or GraphQL APIs so the engine can be triggered from CI/CD pipelines.
• Container-ready deployment scripts (Docker-Compose or Helm charts) and clear documentation so my team can extend the platform after hand-off.

Acceptance criteria
1. I can start a performance test via API and watch live metrics appear in the UI.
2. When a metric breaches a learned threshold, the system raises an alert and stores the finding for later reports.
3. After a run finishes, the platform outputs a concise summary plus AI-generated optimisation tips in JSON and PDF formats.
4. All components build cleanly in our staging Kubernetes cluster using the provided scripts.

If you’ve previously combined performance engineering with data science, or you have open-source examples of similar work, I’d love to review them and discuss the approach before we kick off.

Skills: Python, AI Agents

We run a productized AI voice-agent system for appointment-driven service businesses (home services, clinics, salons, and similar). The system is already built, tested, and live we're not asking you to design it. We need a reliable specialist to deploy and configure it for new clients from our documented setup process, on a fixed-fee per-deployment basis, with steady ongoing work as we grow.
What the system does (what you'll be deploying):
Every client deployment stands up a single-tenant instance of our core engine:

A 24/7 AI voice receptionist that answers calls, qualifies the caller, and books straight into a calendar (Vapi + ElevenLabs)
Missed-call text-back from the client's own number (Twilio Hosted SMS)
Appointment booking into Google Calendar / Cal.com (v2 API)
Lead capture — every caller saved to the database (Supabase)
Call recording, transcription, and logging
Email + SMS booking confirmations (Resend + Twilio)
"Keep their number" via conditional call-forwarding (no porting by default; porting only for full-takeover clients)
A client-facing portal/dashboard (Next.js + Supabase on Vercel)

Higher tiers and add-ons layer on n8n automations you'll configure per client: appointment reminders, a sentiment-gated review engine, lead routing + tagging, multi-staff / multi-calendar booking, lost-lead auto-chase, outbound AI voice callbacks, database reactivation campaigns, and — as a scoped add-on — pushing the receptionist's output (new contact, call outcome, transcript/recording link, booking) into a client's existing CRM via its API (HubSpot, Pipedrive, Zoho, Jobber, Housecall Pro).
A standard deployment looks like:

Spin up a new client instance from our template (per-client voice assistant generated from config)
Provision and connect the number (call-forwarding setup) and the calendar
Configure the voice agent and the relevant n8n workflows to the client's business
Run our four-point acceptance test — call → booking → calendar event → database record → confirmation email — and confirm all four pass
Document anything client-specific

Our stack you must be fluent in most of these:

n8n (our core), Vapi, Supabase (Postgres + RLS + auth), Cal.com v2 API, Twilio (numbers, Hosted SMS, A2P), Next.js / Vercel, Resend.
What we need from you:

Proven, shipped experience with n8n and at least 2–3 of the tools above
Comfort working from an SOP and being measured against a defined acceptance test we pay on the system passing end to end, not on "done"
Clear, fast communication and sharp clarifying questions
Discretion with client credentials you'll get scoped, revocable access; we own all accounts

To apply, answer these three at the top of your reply (generic proposals will be ignored):

Which of the tools above have you actually shipped with? Link one example or describe one real project.
We have an n8n flow that books into Cal.com, but bookings intermittently fail on phone-number formatting. What's your first hypothesis?
Your flat rate to deploy a single, already-documented client instance of a system like this.

Job Posting: AI Developer – Generative Chatbot Agents
iSwop Networks is a startup publisher of community commerce shopping directories that help consumers discover local businesses, services, products, and promotions. We are expanding our digital offerings and are seeking an experienced AI Developer to help us build a scalable “Virtual Customer Sales Agent” solution for our clients. This virtual agent will be integrated into client websites, social media channels, and client business listings within our directory platform.
In this role, you will design and develop a flexible template framework for diverse generative chatbot agents that can be customized for multiple businesses and industries. These agents will assist prospective customers by answering questions, guiding users through websites or product inventories, scheduling appointments, taking messages, and collecting useful customer data. We are looking for someone who can not only build the initial solution, but also provide ongoing monthly maintenance, optimization, and support.
Key Responsibilities
• Design, build, and deploy generative AI chatbot agents tailored for local business and community commerce use cases.
• Create a reusable chatbot template framework that can be adapted across different client industries, service models, and sales workflows.
• Integrate chatbot agents with client websites, social media channels, and directory business listings.
• Enable features such as FAQ handling, website navigation assistance, store inventory guidance, appointment scheduling, message capture, and customer data collection.
• Develop conversation flows, prompt strategies, guardrails, and fallback handling to improve response quality and reliability.
• Connect chatbots to relevant APIs, databases, CRM tools, scheduling systems, or inventory feeds when needed.
• Monitor chatbot performance, improve response accuracy, reduce failure points, and optimize customer engagement over time.
• Provide monthly maintenance, troubleshooting, feature updates, and performance reporting.
• Collaborate with leadership to shape the product roadmap, onboarding process, and deployment standards for new clients.
• Document technical architecture, setup processes, and maintenance procedures to support long-term scalability.
Required Qualifications
• Proven experience developing AI-powered chatbots, conversational agents, or virtual assistants using modern generative AI technologies.
• Strong proficiency in Python, API integrations, and backend development for production-grade AI applications.
• Experience with large language models, prompt engineering, retrieval-augmented generation, and conversation orchestration.
• Hands-on knowledge of chatbot deployment across websites, messaging platforms, and social media environments.
• Experience integrating chatbots with third-party systems such as calendars, CRMs, lead capture tools, e-commerce platforms, or inventory systems.
• Understanding of chatbot analytics, testing, monitoring, and iterative improvement processes.
• Ability to design scalable, reusable chatbot templates for multiple business use cases.
• Strong communication skills and the ability to translate business needs into practical AI solutions.
Preferred Qualifications
• Experience building multi-tenant or white-label AI solutions for multiple clients.
• Familiarity with local commerce, directory platforms, lead generation, or customer engagement products.
• Experience with voice agents, omnichannel customer engagement tools, or social messaging integrations.
• Knowledge of privacy, security, and responsible AI practices related to customer conversations and data capture.
• Experience providing post-launch support, service-level maintenance, and ongoing optimization for AI applications.
What Success Looks Like
The ideal candidate will deliver a robust chatbot template system that can be customized for a wide range of clients, accelerate customer engagement, improve lead capture, and reduce friction in the buying process. Success in this role means creating a solution that is practical, scalable, easy to maintain, and valuable enough to become a core service offering for iSwop Networks and its clients.
Work Arrangement
This role may be structured as contract, project-based, or ongoing part-time/full-time work depending on candidate experience, availability, and proposed approach. Remote work is acceptable.
How to Apply
Please reply back through Upwork. You may want to provide a brief summary of your approach to building reusable generative chatbot templates, and your availability for ongoing maintenance work. We welcome candidates who can think strategically, build practically, and help us turn this offering into a scalable value-added service for our clients.

Forum Intelligence: Project Brief & Initial Rollout
1. Executive Summary & Objective
Forum Intelligence is a beginning as a localized data retrieval, processing, and archiving system designed to scrape public municipal records and state legislative data for public oversight.
The immediate objective is to build a functional, highly resilient prototype focused on the Tri-Cities region (Burbank, Glendale, and Pasadena, California). The system will autonomously ingest messy, unstructured municipal data (City Council meeting minutes, agendas, public notices, and legislative PDF text, recorded mp4), clean it, and make it fully searchable and queryable via a localized AI agentic framework.
2. Phase 1 Scope: The Tri-Cities Rollout
Th engineer will be responsible for building two primary pillars:
A. Resilient Scraper Bots
• Target Ingestion: Monitor and pull data from Burbank, Glendale, and Pasadena municipal portals and California legislative feeds.
• Data Types: Brittle HTML sites, heavily nested tables, public notices, legislative drafts, and massive unstructured PDF archives.
• Requirements: The scraping architecture must be exceptionally robust, utilizing intelligent error handling, retry semantics, and pagination tracking to handle frequent municipal website layout changes without breaking the pipeline.
B. Ingestion & Vector Pipeline
• Parsing: Extracting clean text from poorly formatted documents and scanned PDFs.
• Local RAG (Retrieval-Augmented Generation): Chunking and embedding the data locally into a vector database (e.g., pgvector, Chroma, or Milvus) to enable semantically accurate entity linking and contextual search.
3. Targeted Hardware Stack
To ensure maximum data security, strict public oversight integrity, and predictable operational costs, Forum Intelligence is skipping commercial cloud APIs in favor of an on-premise, localized NVIDIA enterprise deployment.
The production roadmap aligns precisely with the new computing patterns detailed in NVIDIA’s latest hardware roadmap:
• Inference & Token Generation: Running local open-weight frontier models (e.g., Neotron 3 Ultra or Claude/Llama equivalents) optimized for reasoning and long-context tool use.
• Compute & Orchestration: The backend infrastructure is architected around NVIDIA’s dedicated agentic architecture, utilizing high-instructions-per-clock (IPC) Vera CPUs paired with Vera Rubin GPUs.
• Memory & Storage Processing: Utilizing NVIDIA’s unified memory fabric and data processing units (DPUs) for ultra-low latency context management, KV caching, and fast vector database retrieval.
4. Immediate Milestones for the Engineer
1. Architecture Design: Map out the database schema and local inference ingestion loop.
2. Tri-Cities Scraper Deployment: Write and deploy the initial automated bots for Burbank, Glendale, and Pasadena.
3. Local MVP Pipeline: Demonstrate a local RAG pipeline where a user can query the Tri-Cities scraped records and receive grounded answers with exact source attributions.
The above was AI generated from months long conversations with Gemini. The goal is to prove the concept then roll out to LA County, state of CA, and then the country.

Overview

I am looking for an experienced n8n automation specialist to design and build a personal AI-powered intelligence agent.

The objective is to create a system capable of continuously identifying, monitoring, qualifying, and organizing predefined target opportunities while reducing manual research effort and improving decision quality.

The agent should function as a research and intelligence assistant that helps surface high-value targets, evaluate relevance, generate actionable insights, and prepare draft communications when appropriate.

This is a practical business-focused project designed to improve productivity and decision-making through intelligent automation.

⸻

Core Objectives

The initial version should focus on:

Target Discovery

Continuously monitor selected information sources and identify items that match predefined target profiles and strategic criteria.

Target Qualification

Evaluate findings against configurable criteria and assign relevance scores, priority levels, and qualification notes.

Intelligence Summaries

Generate concise summaries explaining:

* Why a target is relevant
* Key indicators of value
* Potential risks or concerns
* Recommended next actions

Draft Communication Generation

Prepare AI-assisted draft communications based on target context and predefined positioning guidelines.

Target Management

Maintain a structured database containing:

* Targets discovered
* Qualification status
* Priority score
* Notes
* Activity history

Notifications

Deliver alerts and summaries when high-priority targets are identified.

⸻

Preferred Technology Stack

* n8n (primary orchestration platform)
* OpenAI or equivalent LLM
* Google Workspace
* Telegram

⸻

Deliverables

* Fully functional n8n workflow
* Documentation
* Installation guide
* Knowledge transfer session
* Modular architecture for future enhancements

⸻

To Apply

Please begin your proposal with:

“EXECUTIVE AGENT”

and briefly explain:

1. How you would architect the first version
2. Similar systems you have built
3. Estimated implementation timeline
4. Recommendations for future scalability

Hi Tyler,

Are you available to help with a presentation for a conference? We are expecting to get all the material in by mid-end this week and would need a one-week turnaround. It would be for approximately 20 slides?
Please let us know your requirements and availabilities.
Thank you!

We are looking for an experienced logo and brand identity designer to create a unique, modern, and memorable visual identity for an AI-powered technology company.

Our brand operates in the Artificial Intelligence and technology space, helping businesses leverage advanced AI solutions through intelligent, user-friendly experiences. We need a logo that feels innovative, trustworthy, scalable, and future-focused.

About the Brand

The company represents:
• Artificial Intelligence
• Innovation
• Digital Transformation
• Automation
• Data & Intelligence

Preferred Design Style

We are inspired by clean, modern technology brands and would like a logo that incorporates:
• Custom lettermark or monogram
• Abstract AI-inspired symbolism
• Digital pixel or data elements
• Geometric forms

The design should feel premium, modern, and suitable for a fast-growing SaaS or AI company.

Creative Direction

Possible concepts include:
• Neural networks
• Data flow
• Artificial intelligence
• Digital transformation
• Innovation

Please avoid generic robot heads, brains, circuit boards, or overused AI symbols.

Preferred Color Palette

Primary Colors:
• Electric Purple — #7B3FF2
• Vibrant Pink — #F05BAA
• Bright Blue — #38B6FF

Supporting Colors:
• Deep Navy — #1A103D
• Soft Lavender — #B7A8E6
• White Background

Gradients are welcome if used professionally and tastefully.

Deliverables:
• Primary Logo
• Horizontal Logo Version
• Icon / App Symbol
• Monochrome Version
• Black & White Version
• Social Media Profile Version
• Brand Style Guide
• Typography Recommendations
• Color Palette Specifications
• AI, EPS, SVG, PDF, PNG, and JPG Files

Design Requirements:
• 100% original work
• Vector-based design
• Scalable across digital and print platforms
• Modern and timeless appearance
• Professional typography
• Strong visual balance
• Memorable brand mark
• Suitable for websites, mobile apps, software dashboards, social media, presentations, and marketing materials

Ideal Designer:

We are looking for someone who has:
• Proven logo and branding experience
• Strong portfolio in SaaS, AI, technology, or startup branding
• Expertise in modern typography and visual systems
• Ability to create meaningful concepts rather than generic icons
• Experience delivering comprehensive brand guidelines

When Applying, please include:
• Relevant AI, SaaS, or technology branding projects
• Portfolio showcasing logo and identity systems
• Brief explanation of your design approach
• Estimated turnaround time

We are looking for an experienced GoHighLevel AI Specialist to join our growing team.

This is not a beginner role.

We need someone who already has hands-on experience building, deploying and supporting AI Voice Agents and AI Chat Agents inside GoHighLevel.

You will be responsible for helping us implement, optimise and support AI solutions for our clients. Most importantly, when a client has an issue, we need someone who can respond quickly, take ownership and get it fixed.

About The Role

You will work closely with our internal team to:

Build and configure AI Voice Agents
Build and configure AI Chat Agents
Create and optimise workflows and automations
Test and troubleshoot AI conversations
Improve prompts, knowledge bases and customer experiences
Review transcripts and identify opportunities for improvement
Support existing client deployments
Manage all assigned work through ClickUp
Work with our internal integration specialist when technical integrations are required

Please note: We already have a dedicated team member who handles API development, webhooks and complex integrations. Your role is to work alongside them, not replace them.

What Success Looks Like
AI agents are built correctly the first time
Client issues are resolved quickly
Communication is clear and proactive
Tasks are completed without constant follow-up
Clients receive a great experience
You identify opportunities for improvement before they become problems

Essential Requirements
Strong GoHighLevel experience
Proven experience with AI Voice Agents
Proven experience with AI Chat Agents
Strong workflow and automation experience
Excellent spoken and written English
Available during Australian East Coast business hours
Comfortable working in ClickUp
Strong troubleshooting and problem-solving skills
High attention to detail
Reliable internet connection
Ability to work independently

Highly Desirable
Understanding of Australian businesses and customer expectations
Experience supporting live client environments
Experience with customer service workflows
Experience documenting and testing AI solutions
Understanding of conversational AI best practices

Client Support Expectations

A major part of this role is supporting live client deployments.

When a client has an issue, we expect prompt action.

You must:

Respond to support requests during Australian business hours
Provide updates while issues are being investigated
Take ownership of problems until they are resolved
Escalate issues when required
Prioritise urgent client-impacting problems appropriately

We are looking for someone who is responsive, proactive and accountable.

To Apply

Please provide:

A summary of your GoHighLevel experience
Examples of AI Voice Agents you have built
Examples of AI Chat Agents you have built
Your availability during Australian East Coast business hours
Your hourly rate
Why you believe you are a good fit for this role
Important

Applications will only be accepted through Upwork.

Do not call us.

Do not email us.

Do not send LinkedIn messages.

Any applicant who attempts to contact us outside of Upwork regarding this position will be immediately disqualified from the hiring process.

Following instructions is an important part of this role.

• How many GoHighLevel AI Voice Agents have you personally built and deployed?
• How long have you been actively working in GoHighLevel?
• How many hours per week are you available during Australian East Coast business hours?
• What is your average response time to an urgent client support issue during your normal working hours?
• Please describe a recent AI Voice Agent project you worked on, including the client's objective, what you built, and the outcome achieved. (Minimum 150 words.)

Overview
We are seeking an experienced GCP AI/ML Solutions Architect to support enterprise AI modernization initiatives in a part-time, remote role. You will lead presales discovery, architect Gemini Enterprise and AI Agent solutions, and help clients design scalable agentic AI platforms and workflows.
This role is ideal for a seasoned architect passionate about enterprise AI, multi-agent systems, cloud modernization, and strategic technical advisory.

Responsibilities

Lead discovery workshops and client conversations to identify AI and automation opportunities
Translate business goals into scalable technical architectures and AI strategies
Design Gemini Enterprise, ADK, and multi-agent solutions leveraging GCP services
Architect integrations across BigQuery, Cloud SQL, Pub/Sub, Firestore, RAG, and enterprise applications
Create architecture diagrams, SOWs, ROMs, proposals, and technical solution narratives
Deliver demos, executive presentations, and technical advisory sessions
Define governance, observability, monitoring, evaluation, and responsible AI strategies
Collaborate with sales and delivery teams to support opportunity progression and solution feasibility
Build rapid POCs, accelerators, and demo environments to support presales cycles and client workshops
Provide hands-on technical guidance to accelerate engineering team ramp-up and implementation readiness
Stay current with emerging AI/ML, agentic AI, Gemini, and cloud technologies to continuously evolve solution strategies and reusable patterns


Required Experience & Skills

7+ years in cloud architecture, solution design, or technical consulting
4+ years supporting presales, discovery, estimation, and proposal development
Strong hands-on engineering capabilities across cloud, AI/ML, and modern application architectures
Ability to quickly prototype and build working POCs to validate architecture approaches and demonstrate business value
Hands-on experience with Google Cloud Platform services including Vertex AI, BigQuery, Cloud Run, GKE, Pub/Sub, Dataflow, Firestore, and Cloud SQL
Strong understanding of LLMs, Generative AI, RAG, vector search, and agentic AI architectures
Experience designing custom agents, orchestration workflows, and scalable AI solutions
Familiarity with Gemini Enterprise, Agent Studio, ADK, MCP integrations, and AI governance concepts
Knowledge of Kubernetes, Docker, Terraform, CI/CD, and cloud security best practices
Strong communication, presentation, documentation, and executive engagement skills
Proficiency in Python, SQL, and cloud-native architecture patterns


Engagement Details

Part-time Independent Contractor role
Remote within the United States or Canada
Flexible schedule, approximately 15–25 hours/week initially
Competitive hourly rate based on experience
Opportunity for expanded engagement based on performance and pipeline growth


What We’re Looking For
We are looking for a strategic architect who can bridge business and technology while helping enterprises adopt modern AI and agentic workflows. The ideal candidate combines strong architecture leadership with hands-on execution, stays current with rapidly evolving AI technologies, and can quickly build practical solutions, demos, and POCs that accelerate presales, delivery readiness, and client confidence.

• How would you architect a multi-agent Gemini system using Vertex AI and ADK that pulls data from BigQuery and triggers actions in an external CRM? Keep it high-level.
• A client wants autonomous AI agents but has messy, unorganized enterprise data. How do you pitch a realistic Phase 1 POC during discovery to secure the win?
• This role requires rapid, solo prototyping. What Python frameworks and GCP services did you use to build and deploy your most recent functional RAG or agentic POC?
• How do you implement evaluation, observability, and data privacy guardrails in Vertex AI to assure a cautious enterprise client that Gemini won't hallucinate or leak data?
• You need to draft SOWs and ROMs. How do you accurately estimate engineering timelines for a complex agentic workflow when a client's requirements are still vague?

We are seeking a skilled developer to create a CV screening automation system using AI. The ideal candidate will have experience in building AI models and automating processes. The system should efficiently screen CVs to identify top candidates based on specific criteria. Familiarity with HR systems and data analysis is a plus. If you have a passion for AI and automation, we would love to hear from you!

this is an older sysem written with Javascript. We want to modernice and modify a bit.

I can create the tables for you. System will allow us to send emails automatically and put data from the table on a pdf and email it out.

Fairly simple to inderstand. I have a background in database, but airtable is new to me and I am not sure of it's capabilities. I have a few other projects if airtable works for this.

• Describe your recent experience with similar projects
• Please list any certifications related to this project

Summary

We are seeking contributors to participate in an AI data collection project by recording first-person (POV) videos of everyday household activities using a smartphone mounted on a head strap. The collected videos will help improve robotic vision and artificial intelligence systems.

Responsibilities
Record natural household activities from a first-person perspective
Wear a head-mounted phone strap while performing daily tasks
Ensure both hands remain visible during activities
Follow recording guidelines and task instructions provided in the app
Upload completed recordings through the designated mobile application
Maintain high-quality recordings with proper lighting and stable movement

Eligible Countries
United States
Brazil
Colombia
Canada
Argentina
Mexico
Approved Devices

Apple

iPhone 11 to 17 series
(Excluding iPhone 16e and iPhone 17e)

Android

Google Pixel 6 to 9
Samsung Galaxy S21 to S24
What You Will Do

Record natural first-person POV videos while performing everyday household activities such as:

Cleaning
Washing dishes
Organizing items
Kitchen activities
General household routines
Project Requirements
Head-mounted phone strap (mandatory)
Stable internet connection
Good lighting conditions
Both hands must be visible during recording
Natural movement and behavior (no acting or scripting)
Recording Guidelines
Videos must be 2 to 30 minutes long
Recordings should be natural and uninterrupted
Avoid sudden or excessive head movements
Ensure no personal or sensitive information is visible
One task must be recorded as one continuous video clip
Required Skills
Basic smartphone usage
Attention to detail
Data collection
Quality assurance
Ability to follow instructions carefully
Pay Rates (Hourly)

United States

$8/hr for the first 50 approved hours
$10/hr for approved hours beyond 50

Brazil, Colombia, Canada, Argentina, Mexico

$4/hr (flat rate per approved hour)

Payment is based only on approved recordings.

Project Type
Remote / Freelance
Industry
AI Data Collection & Machine Learning Training Data
How to Apply

Please share:

Current country
Phone model
Weekly availability
Previous experience in data collection or annotation projects (if any)

We are seeking an experienced curriculum developer to create an engaging and comprehensive curriculum focused on teaching students about ethical AI principles. The curriculum should cover key topics such as fairness, accountability, and transparency in AI systems. The ideal candidate will have a strong background in AI, education, and ethics, and be able to design interactive lesson plans that foster critical thinking. Ideally, we would want to hire an active high school teacher for this position, and would be able to provide additional payment for in-class testing.

The required deliverables include the following:
- A module aimed at high school students introducing the foundations of responsible AI usage. These should be able to be taken in a single one-hour class.

- Modules aimed at high schoolers allowing them to earn "advanced ai permissions" by teaching them how to use it on homework. This is about ten hours of instructional material/exercises. There should be hands on exercises teaching them about citations, fact-finding, and collaboration rather than reliance on AI.

- A teacher targeted module, about 30 minutes teaching them about options for incorporating AI literacy into their classroom.

*Untitled To Do List App*
Productivity App Development – Calendar Sync, Live Activities, Screen Time Blocking & AI Task Parsing

**Project Description:**
I’m building a modern productivity app focused on deep work, task execution, and intelligent scheduling. A working prototype/design is already available, and I’m looking for an experienced mobile app developer or team to turn it into a polished production-ready app.

The app combines task management, focus tools, calendar integrations, and intelligent scheduling into one streamlined experience.

### Core Features

* Multi-calendar sync integration (Google Calendar, Apple Calendar, Outlook, etc.)
* SSO sign-in integration (Google, Apple, Microsoft)
* Live Activities integration (iOS preferred)
* Step-by-step walkthrough tasks
* Ability to create tasks with multiple sub-steps
* Schedule prep tasks before events
* Reminders
* Screen time/focus mode functionality that can block distracting apps
* Smart capture notes section that parses natural writing into tasks/events automatically
* Modern, polished UI/UX with smooth interactions and animations
* Productivity-focused workflow design

### Additional Notes

* Full prototype/design already available for reference
* Strong attention to UI/UX quality is important
* Experience with productivity apps, calendar APIs, AI parsing, or focus tools is a major plus
* Looking for scalable architecture and clean maintainable code
* Cross-platform experience is preferred, but open to recommendations

### Preferred Tech Stack (Flexible)

* Swift / SwiftUI for iOS
* Flutter or React Native for cross-platform
* Firebase or Supabase backend
* Calendar API integrations
* AI/NLP parsing for converting notes into tasks/events

### Please Include in Proposal

* Relevant mobile app portfolio
* Experience with productivity or scheduling apps
* Experience with Live Activities, calendar sync, or screen time APIs
* Recommended tech stack
* Estimated timeline and budget

*** Advanced Prototype is available and will be shared with shortlisted developers. ***

Skills: Website Design, Mobile App Development, iPhone, Objective C, Swift, App Design, UI / User Interface, Flutter, AI (Artificial Intelligence) HW/SW, Prototype Design

⚽ Project Opportunity: Next-Gen Soccer AI Commentary System (Computer Vision Lead) 🚀

I am managing a high-profile project to build a next-generation, context-aware soccer AI commentary system from scratch. I am looking for a elite Computer Vision (CV) Partner (individual or small specialized team/lab) to contract with me and own the entire vision architecture and codebase.
As the Project Lead, I will act as the sole buffer and handle all client-side communications and requirements. This allows you to focus purely on development. I will also be handling the Generative AI infrastructure, while you will have complete ownership of the Vision data layer.

📌 Preferred Partners:
We are looking for highly specialized, autonomous technical talent who can architect a production-ready CV codebase from day one. We highly prefer:
Academic Labs, Research Teams, or PhDs specializing in sports analytics or spatio-temporal video analytics.
Small specialized startups or agile teams (2–3 members) capable of co-owning this architecture.
Industry Professionals/Employees currently working in football analytics and vision AI. Both part-time collaboration and full-time contract arrangements are fully welcome (provided it does not violate any current employment laws or company policies).

🛠️ Scope of Work (Your Complete Ownership):
Robust multi-object tracking (player and ball detection across broadcast video).
Spatio-temporal action spotting and automated match event recognition.
End-to-end broadcast video-to-data pipelines.

💼 Project Terms & Budget:
Timeline: Strict 3-month schedule from kickoff to delivery.
Budget: ~$50,000 USD.
Contract Structure: We will execute a secure Individual-to-Individual (or Individual-to-Team/Entity) contract with a milestone-based payout structure.
Condition: The full budget is locked and will be rewarded upon delivery of a highly competitive, state-of-the-art result.

#ComputerVision #SportsTech #MachineLearning #DeepLearning #VideoAnalytics #AIContractor #SportsAnalytics #TechHiring

I am looking for a long-term YouTube and short-form video editor to help create travel and destination-style videos for Wintergreen and Nelson County, Virginia.

The videos should feel like a helpful local travel guide, not an advertisement. The goal is to create useful destination content that helps travelers understand the area, plan their trip, and answer common questions before they visit.

This is not just a one-time montage. I am looking for someone who can help create a repeatable video style that can be used for future destinations.

The first destination will include content around Wintergreen and Nelson County, including hiking, waterfalls, wineries, breweries, restaurants, resort areas, seasonal activities, local businesses, short-term rental neighborhoods, and guest-planning information.

I need help creating:

Short vertical videos, 15–60 seconds
Longer horizontal videos, 2–5 minutes
Destination storytelling
Clean text overlays and location labels
Captions/subtitles
Simple maps or location graphics
Natural color correction
Music selection
YouTube titles, descriptions, chapters, and tags
A consistent repeatable style for future videos

The videos should be edited with search and discovery in mind, including Google search, YouTube search, local destination relevance, answer-based search, AI-assisted trip planning, and social media discovery.

Some videos may include narration or voiceover. This may be human voiceover, licensed AI narration, or an approved brand voice. The editor should be comfortable syncing narration, captions, visuals, and music in a natural, non-salesy way.

The ideal editor understands how to create videos that answer traveler questions such as:

What are the best things to do near Wintergreen?
What wineries, breweries, hikes, waterfalls, and restaurants are nearby?
Why is this location valuable for short-term rental guests?
What should visitors know before planning a trip?

Please include:

Examples of travel, tourism, real estate, local business, or YouTube videos you have edited
Any experience with YouTube optimization, captions, location-based content, SEO, or AI-assisted video workflows
Your editing software
Typical turnaround time
Pricing for a 30–60 second video
Pricing for a 2–5 minute video
Whether you are interested in ongoing long-term work

This could become ongoing work if the first project is a good fit.

First paid test project:
Edit one 30–60 second vertical video and one 2–3 minute horizontal destination video from provided footage, including captions, text labels, music, and basic YouTube description suggestions.

Skills: SEO, YouTube, Geolocation, Social Media Marketing, Video Production, Artificial Intelligence, Content Strategy, Video Post-editing, Answer Engine Optimization (AEO)

This project explores the concept of human consciousness existing within a fully simulated digital universe. The production combines AI-generated visuals, advanced motion graphics, 3D compositing, and cinematic visual effects to depict the transition between physical reality and a complex virtual environment.

The workflow involves AI-assisted world-building, procedural environment generation, holographic interface design, dynamic particle simulations, advanced camera tracking, and cinematic sound engineering. Real-world footage is integrated with synthetic environments through sophisticated compositing and lighting techniques, creating a seamless blend between reality and simulation. The final production demonstrates innovative applications of artificial intelligence, visual effects, and immersive storytelling within a futuristic narrative framework.

Skills: Video Services, Animation, After Effects, 3D Modelling, 3D Animation, Videography, Visual Effects, AI Art Creation, AI Design, AI Development