AI Model Integration for Upwork Projects

[Please apply if you have more that 5Years of experience Architecting AI systems]

I’m building a product that relies on a brand-new set of internal metrics, and I need an AI engineer who can architect and prototype a module that turns those numbers into solid, forward-looking insights. The core task is predictive analytics: taking my custom data streams, shaping them into a reliable feature set, and producing accurate forecasts that I can expose through a clean API.

I already control the source data and can provide secure sample dumps for experimentation. What I don’t yet have is the overall blueprint—choice of models, data pipeline, evaluation strategy, and a deployment plan that will scale once we move from proof-of-concept to production. Explainability matters to me, so model interpretability techniques should be baked in from day one.

To keep us aligned, I’ll consider the work complete when you provide:
• An architecture diagram with tech stack rationale
• A working prototype (Python preferred) that trains on my sample metrics and returns predictions via a simple endpoint
• Evaluation results with clear performance benchmarks and explainability artifacts
• A short hand-off document outlining next steps for full deployment and monitoring

If you have a track record of building predictive systems around unconventional datasets and can move quickly from design to a testable prototype, let’s talk.

Skills: Python, Machine Learning (ML), Data Science, API Development, Predictive Analytics, AI Model Development, AI Model Integration, AI Development

Have you got what it takes to help me build a different kind of AI agency, fast?

This is an exciting opportunity to work with a visionary and energetic founder to establish and grow an AI and automation agency, offering consultancy and implementation.

What will make us different - and valuable - is not WHAT we do, but HOW we do it.

---

**Who Am I?**

An experienced founder, I’ve run my own business for 20 years, and have lived the agency life, specifically in marketing, tech, and automation. I also work as a consultant in business operations.

I am not some naive, starry-eyed tech bro looking to cash in.

I know what it takes to run a successful agency - one that clients value and one that makes real money - and I want to take advantage of the latest tech to build something meaningful, for clients, for myself, and for you.

I have tech skills myself, developed over years of delivering websites, custom apps, automations etc for clients. I work daily with AI, n8n workflows, Claude, Lovable etc, and have shipped numerous AI projects for clients. I am also currently building the MVP for a completely new product.

So I know my way round the back end, can spec a project accurately and can ‘speak dev’. That means I’m expert at translating vague client requirements into something a dev can actually work with.

But...

I know what I’m best at and what I’m not. And fast, production-ready technical delivery is not where I add most value.

That’s where YOU come in.

---

**What I’m Looking For**

A long-term technical partner (co-founder/CTO maybe?) who can deliver all the tech stuff, both for our own internal use and for clients.

You’ll be the kind of person who understands the leverage that comes from working with other specialists, so you can stay in your lane and do what you do best.

Critically, you are:

- Responsive & reliable
- An excellent communicator
- A team player
- Full of positive energy & ideas
- Technically skilled & up to date
- A fast, accurate builder, with a genuine eye for detail
- Proactive & motivated
- Organised, efficient, & self-directing

You must be able to demonstrate you know what you’re doing. I need to see evidence of actual projects you’ve shipped. I have high standards and high expectations, as do our clients.

I don’t care where you are, as long as your English language and communication skills are excellent, you are efficient and responsive, and you can be available for calls as required (usually GMT/UTC office hours).

I’ve hired a lot over the years, and have often worked with offshore devs too. Many have been excellent, some not so much. I know what to look for and I don’t have time to waste. So if I appear demanding, that’s why. If we’re on the same page with this opportunity, you’ll understand why as well.

I bring the credibility & business experience, you bring the technical chops.

You’ll be coming in at ground level, and need to be willing to join me in putting effort into making the venture a success. Have you got that entrepreneurial spirit?

---

**What I’m NOT Looking For**

This is the disqualification bit - please pay attention, be honest, and if you recognise yourself, don’t waste your energy.

This is not for you if:

- You are an agency - I’m looking for one A-player
- You’re a clock-watcher who only works 9-5
- You’re not willing to invest your own time & energy into being successful
- You just want to be told what to do
- You’re not interested in building something long term

—

**What We’ll Do**

Step 1 - initial requirements:

- Help finish off a client project: built in Lovable with Supabase & n8n back end, including AI & M365 integrations
- Help develop the technical strategy for the new agency
- Help build our outreach machine

If this goes well…

Step 2 -

- I’m in the final stages of bidding on a custom-build AI project, which could be very profitable - that will give us something to get our teeth into.

---

**How To Apply**

Please get in touch, show me what you can offer, and hopefully we’ll chat.

Generic, cut-and-paste, or irrelevant AI-generated responses will be ignored. This is a valuable opportunity for the right person, so recognising that and making an effort in your application matters.

At the start of your application, please tell me which city and country I am based in (not where you are, where I am).

Then provide answers to these questions:

1. What kind of technical solutions are you most interested in building?
2. Describe the unique value you believe you would bring to this opportunity.
3. What do you think makes the difference between an outstanding, successful AI agency and a mediocre one?
4. Show me 2-3 projects you’ve shipped recently, describe what outcome they delivered, and the tech stack used.

Only applications that answer all the questions will be considered. Also please tell me what timezone you’re in.

Look forward to hearing from you.

• What kind of technical solutions are you most interested in building?
• Describe the unique value you believe you would bring to this opportunity.
• What do you think makes the difference between an outstanding, successful AI agency and a mediocre one?
• Show me 2-3 projects you’ve shipped recently, describe what outcome they delivered, and the tech stack used.

Hello, I have a developed electron programme for my browser game. There are puzzles in game and I have a trained AI model but when puzzle showed up my programme couldn't solve I couldn't find problem every time it solves incorrectly. Do you have expertise in this area?

We are a PVC pipes and CP bath fittings manufacturing company based in India, and we are looking for a **creative and experienced graphic designer** to upgrade our existing product catalog for our premium brand **Edinburgh Bath Fittings**.

The catalog is already designed — this project focuses on **enhancing visual appeal and brand positioning**.

---

**Scope of Work:**

1. **AI Model Integration**

* Add high-quality, realistic AI-generated models (bathroom/lifestyle settings)
* Models should match premium bathroom aesthetics
* Proper placement with our existing product images

2. **Front & Back Cover Design**

* Create a **premium, modern cover design**
* Integrate our **Brand Ambassador: Mugdha Godse**
* Strong luxury branding feel (similar to top brands like Jaquar, Kohler)

3. **Catalog Enhancement**

* Improve layout, spacing, and visual hierarchy
* Make catalog more **premium and international-level**
* Maintain consistency with brand identity

---

**Expectations:**

* Experience in **luxury product catalog design**
* Strong skills in **AI image generation (Midjourney / DALL·E / similar tools)**
* Ability to deliver **print-ready high-resolution files**
* Creative understanding of **bathroom/sanitaryware industry aesthetics**

---

**Deliverables:**

* Final print-ready catalog (PDF)
* Source files (AI/PSD/INDD)
* AI-generated images used in the catalog

---

**Reference Style:**
Looking for design quality similar to brands like **Jaquar, Kohler, Grohe**

---

**Budget:**
Open for discussion (looking for quality work)

---

**Note:**
Please share your **portfolio of similar catalog or luxury design work**.

---

Looking forward to working with a talented designer to elevate our brand presence 🚀

I am looking to build a software project using AI. I want to use the massive GLM 5.1 model as my backend brain but do not have the hardware to run it locally. I need a technical expert to help me set up a seamless "no-code/low-code" visual environment on my computer so I can prompt the AI to build the application for me.
What I need set up:
API Integration: Help me obtain and securely configure an API key for GLM 5.1 through a supported provider like Z.ai or OpenRouter.
Local Environment: Install and configure a visual coding interface on my machine. I am leaning toward Cursor or the Cline agent extension, but I am open to your professional recommendation for a absolute beginner.
Model Routing: Ensure that the editor is properly routing prompt requests directly to GLM 5.1 so it can actively read, write, and execute file structures on my computer.
Brief Walkthrough: A quick 15-minute screen-share session showing me how to prompt the model to generate files, run the program, and feed errors back to the AI for self-correction.

Role Purpose
Build, enhance, and scale production-grade web applications and platform modules that support enterprise AI workflows. This role exists for a hands-on engineer who can take ownership of features or entire applications — from design through implementation — with minimal supervision.
The engineer will work closely with platform architects and AI engineers, but is expected to independently drive execution and make sound technical decisions.

Key Outcomes This Role Owns
• High-quality, production-ready application modules delivered on schedule
• Clean, maintainable front-end and back-end codebases
• Improved usability and performance of AI-enabled applications
• Reduced dependency on constant design or engineering oversight

Key Responsibilities
• Design and implement end-to-end application features across front-end and back-end
• Build and enhance user interfaces for complex, workflow-driven applications
• Implement APIs and services that integrate with AI, data, and platform components
• Collaborate with architects to align implementation with platform standards
• Own features from development through testing, deployment, and iteration
• Troubleshoot and resolve functional and performance issues
• Contribute to improving code quality, structure, and engineering practices

What Success Looks Like
• Features and modules are delivered with minimal rework
• Applications are intuitive, responsive, and stable
• Codebases remain understandable and extensible as the platform evolves
• Engineering velocity increases without sacrificing quality

Ideal Background & Skills
• 3+ years of experience as a full-stack engineer
• Strong proficiency in modern front-end frameworks (React, Angular, or similar)
• Solid back-end experience (Node.js, Java, Python, or equivalent)
• Experience building RESTful or event-driven APIs
• Comfortable working with cloud-based architectures
• Experience integrating complex systems or platforms
• Ability to work independently and make pragmatic technical decisions

Skills: JavaScript, Python, Django, Git, Full Stack Development, API Development, Next.js, AI Model Integration, AI Development, AI Agents

Job Description

We are looking for a Senior PHP Developer with strong expertise in Laravel, MySQL, and backend architecture design to join our team.

The ideal candidate should have experience building scalable, production-grade systems, and be comfortable working across backend, frontend (basic), and server-level environments.

🌍 Location Preference

We are specifically looking for developers based in:

Philippines
South America (Brazil, Argentina, Colombia, etc.)
🔧 Key Responsibilities
Design and develop scalable backend systems using Laravel
Architect and improve existing system structure and performance
Optimize database queries and data models (MySQL)
Work on API development and integrations
Handle server-level tasks (deployment, debugging, performance tuning)
Collaborate with team on feature planning and technical decisions
Ensure clean, maintainable, and well-documented code
🛠️ Required Skills
Strong experience in PHP & Laravel (5+ years preferred)
Expertise in MySQL (query optimization, indexing, schema design)
Good knowledge of Tailwind CSS, HTML, CSS
Experience with REST APIs and system integrations
Strong understanding of system architecture and scalability
Experience with server environments (Linux, AWS, or similar)
Familiarity with Git, CI/CD pipelines
⭐ Nice to Have
Experience with high-traffic systems / SaaS products
Knowledge of Docker / DevOps workflows
Experience in performance optimization and caching strategies
🧠 What We’re Looking For
Someone who can think architecturally, not just code
Ability to identify bottlenecks and suggest improvements
Strong problem-solving and ownership mindset
Good communication and ability to work independently
📌 Project Details
Long-term opportunity
Ongoing feature development + system improvements
Flexible working hours

We are building a private enterprise AI platform that connects large language models to internal business systems such as:

Microsoft SharePoint
Internal databases (PostgreSQL / SQL Server)
Third-party enterprise systems (banking, telco, CRM, ERP)

We are looking for a senior engineer with real production experience, not just prototypes.

This role is focused on designing and implementing RAG pipelines and AI workflows that interact with real enterprise data sources.

What We Are Building

A system that enables:

AI querying internal documents (SharePoint, PDFs, policies)
AI querying structured data (databases, financial systems)
AI generating outputs (reports, summaries, decks)
AI orchestrating workflows across systems


Example Use Cases
Banking
Query loan portfolio data via Text-to-SQL
Generate credit summaries
Treasury insights from structured + unstructured data
Telco
Analyze network incidents
Summarize support tickets
Assist field engineers with knowledge retrieval
Enterprise Knowledge
SharePoint ingestion
Policy and document intelligence
Role-based retrieval
Scope of Work

You will be responsible for:

1. RAG Pipeline Design
Build ingestion pipelines (SharePoint, PDFs, APIs)
Chunking, embedding, metadata tagging
Vector DB integration (Qdrant / Pinecone / pgvector)
2. LangChain / Orchestration Layer
Implement retrieval + reasoning workflows
Route queries between:
RAG (documents)
Text-to-SQL (databases)
API calls (external systems)
3. Enterprise Data Integration
SharePoint API integration
Database connectors (Postgres, SQL Server)
Simulated or real API integration (banking / telco scenarios)

This is critical — many RAG systems now integrate enterprise sources like SharePoint and APIs for real-time retrieval and workflows

4. API Layer
Build backend APIs (FastAPI preferred)
Expose endpoints for:
Query
Retrieval
Document generation
5. Demo Environment (Very Important)

We need a working demo system that shows:

SharePoint → RAG → Answer with citations
Database → Text-to-SQL → Answer
AI → Generated report (Word / PowerPoint optional)


Required Skills

You must have:

Strong Python backend experience
Proven experience with:
LangChain or similar frameworks
RAG pipelines
Vector databases (Qdrant, Pinecone, FAISS, etc.)
Experience building APIs (FastAPI / Flask)
Experience integrating external data sources (APIs, DBs)
Understanding of embeddings, chunking, retrieval strategies

These are standard expectations in real RAG engineering roles, including pipeline design, vector DB integration, and API development

Strongly Preferred
Experience with SharePoint ingestion
Experience with enterprise systems (ERP, banking, CRM)
Experience with multi-step AI workflows or agents
Experience deploying on Azure or AWS
Experience with Docker


We want someone who has seen systems break and fixed them.


Please include:

Links to real projects
Example of:
RAG system
API integration
Database or enterprise integration
Short explanation of:
How you would connect an LLM to both SharePoint and a SQL database in one system

• Explain how you would build a system that answers questions from both SharePoint documents and a SQL database.
• How do you decide whether a query should go to RAG or SQL?
• How would you ingest SharePoint into a RAG system?
• Describe your recent experience with similar projects
• Describe your approach to testing and improving QA

We are looking for an experienced AI/ML engineer to build a scalable video intelligence system that ingests demo call recordings from multiple sources (e.g., Fireflies, Aligned, Vimeo), transcribes and diarizes speakers, and outputs two core datasets: (1) clustered, frequency-based buyer terminology from external speakers only (with variants, context, and stage), and (2) timestamped, high-quality testimonial quotes with scoring and rationale. The system should include ingestion workflows, transcript processing, semantic clustering (embeddings), structured outputs (Airtable or database), and a simple review/dashboard layer. This is initially a one-time project, but it must be architected for scale and repeatability. Please only apply if you have built similar LLM-based pipelines (transcription + NLP + clustering + extraction). Include a brief description of your approach, stack, timeline, and provide a sample output or case study.

I’m setting out to master Claude Cowork and Code, OpenClaw, and any other AI-agent stacks that will help me build collaborative projects. Right now I’m a beginner, so I need you live on Zoom, camera on, screen-sharing with me while we walk through everything—from a clean install all the way to polishing configuration files and squashing the inevitable bugs.

Here’s what I want our sessions to cover:
• Installation and setup on my local machine (Windows) as well as any required cloud services
• Configuration and customization so the agents actually do what I need
• Real-time debugging and troubleshooting while you explain the “why,” not just the “how”

By the end of our time together I should confidently:
• Spin up a fresh environment without notes
• Know which config values matter and how to tweak them
• Pair program with others using these tools

Please be comfortable guiding absolute beginners and willing to share code, commands, and best-practice tips on the spot. If that sounds like a good fit, let’s line up our first Zoom session.

Skills: AI Consulting, AI Text-to-text, AI Chatbot Development, AI Model Integration, AI Development, Claude (Anthropic), AI Agent Swarms, Claude Code, OpenClaw

Every month I need an AI-driven workflow that picks up my existing Google Docs and Notion pages, applies my predefined update templates, and pushes the refreshed versions straight into a custom GPT on OpenAI. Most of these files are heavy on tables, charts, and well-layered headings, so the agent must keep every structure intact while reorganising any clutter it finds.

Key actions the flow must cover end-to-end:
• Locate and read the target documents from both Google Workspace and Notion
• Apply my provided templates to update numbers, text blocks, and any embedded tables or charts
• Re-order sections when the template dictates, ensuring headings remain properly nested
• Export the revised documents and feed them automatically to the designated custom GPT instance

I am tool-agnostic—Claude, n8n, Make, Python scripts, or any combination that reliably meets the above steps is fine, as long as the whole chain runs unattended once a month and sends me a short completion log.

Acceptance criteria:
1. On demand or on schedule, the agent updates at least two sample docs per platform without manual intervention.
2. Table formats, chart links, and heading hierarchy are preserved exactly.
3. The custom GPT receives the new versions and confirms ingestion via its API response.
4. A concise log (success/failure per file) lands in my inbox.

Provide a brief outline of your proposed architecture and any libraries or no-code tools you intend to use so I can green-light the build.

Skills: Google App Engine, API, Automation, Notion, AI Chatbot Development, AI Model Integration, AI Development, Claude (Anthropic), n8n, Claude Code

We are looking for someone to help us automate many operational and compliance tasks with AI - preferably Claude. These are basic tasks such us navigating a back office system, downloading files, and uploading them in other software applications (because no API is available).

The ideal candidate will help us identify the right solution, set it up, verify it's working properly - and be available for support, or changes when needed.

We have a few initial tasks, such as the one described above, but we anticipate more will develop. The ideal candidate will be able to dig with members of our operations team to identify other opertunities to easily improve efficiencies and reduce costs.

• Describe your recent experience with similar projects

Stroke Rehabilitation MVP (Phase 1: Part 1 + Part 2)
Platform: raccoonai.tech (mandatory)
Objective
Develop a functional MVP of a stroke rehabilitation support system that combines daily task management, caregiver interaction, and basic recovery tools within raccoonai.tech.
The system must be accessible, simple, and reliable for daily use, specifically designed for users with cognitive and motor limitations.
Phase 1 Scope (Divided into 2 Parts)
Part 1 – Core System & Daily Task Foundation
Focus: Build the core structure and “daily anchor”
Requirements:
Set up data models:
Users (Patient, Caregiver)
Tasks (medication, appointments, daily routines)
Reminders (time-based)
Develop core features:
Daily dashboard (Today’s tasks)
Task creation/editing (user + caregiver-ready structure)
One-tap task completion flow
Reminder system:
Time-based visual reminders (audio scalable later)
Accessibility:
Large UI elements
Simple navigation (low cognitive load)
Clean layout (no complexity)
Part 2 – Caregiver Integration & Recovery Layer
Focus: Add interaction + extend functionality
Requirements:
Caregiver module:
Remote task viewing/updating
Task completion tracking
Communication:
Basic async communication (notes or updates)
Recovery tools:
Integrate simple cognitive/speech exercises (basic level)
Include external link integration (e.g. aphasiagpt.ai)
System integration:
Ensure all features are part of a single unified flow, not separate modules
Technical Expectations
Must be built entirely within raccoonai.tech
Strong understanding of:
No/low-code app structuring
Workflow logic
Data relationships
Focus on:
Scalability (ready for AI/ML in future phases)
Stability (daily usability complex features)
Collaboration Requirements
Iterative development approach
Ability to incorporate frequent client feedback
Clear communication on structure and limitations of raccoonai
Deliverable
A working MVP with:
Functional task + reminder system
Caregiver interaction (basic level)
Integrated recovery flow
Clean, accessible UI usable in real-life daily scenarios
Important Notes
Do not over-engineer — simplicity and usability are priority
The MVP should act as a foundation for future AI-driven personalization
Developer should focus on structure + experience, not just feature implementation

Budget: $35 NZD
Time: 10 days

Skills: JavaScript, Mobile App Development, User Interface / IA, HTML, AI (Artificial Intelligence) HW/SW, App Development, User Experience Research, AI Model Integration, AI Development, Accessibility

I'm seeking a knowledgeable professional to help me understand and integrate AI automation into my existing website.

Key Tasks:
- Explain the process of using AI, particularly Claude Code and other agents.
- Assist in automating content updates for marketing creatives.

Ideal Skills and Experience:
- Familiarity with AI tools and website integration
- Experience in automation, particularly for content updates
- Ability to explain technical processes in a simple, understandable manner

Skills: PHP, Website Design, Graphic Design, HTML, API Integration, AI Chatbot Development, AI Model Integration, AI Development

My desktop slot game has just reached alpha, and I need an experienced Godot or Unity developer to keep the momentum going. The core reels and pay-table logic are already in place; the immediate focus is polishing the user interface and wiring the client to our backend services so we can start live balance updates, authentication, and session tracking.

Here’s what I’m aiming for over the next few sprints:
• Rebuild the lobby and in-game HUD so they scale cleanly on common desktop resolutions (Full HD and 1440p are top priority).
• Implement smooth transitions, button states, win animations, and sound hooks that match the existing art and audio assets.
• Integrate REST endpoints for login, balance fetch, spin requests, and result callbacks. The backend is ready; I’ll provide Swagger docs and test tokens.
• Add basic error handling and reconnection logic so the game fails gracefully when the network drops.
• Final step: package a signed build for Windows (Mac optional but welcome) and hand over well-commented source in Git. Acceptance criteria will be a playable desktop build that passes a short QA checklist covering UI responsiveness, correct balance updates, and stability through 1000 automated spins. If you’re comfortable jumping into an alpha-stage codebase, writing clean C# (Unity) or GDScript (Godot), and pushing frequent Git commits, let’s talk.

Summary
We’re building a modern SaaS platform and are looking for a skilled React developer who can work across frontend and backend, with strong experience in FastAPI development, Firebase, and AI-driven features.

This is not just a typical web developer role - we need someone who can think like a full stack developer and contribute to architecture, performance, and product decisions.

Project Overview
We’re developing a lead generation & workflow automation platform that combines analytics, user dashboards, and AI-powered assistants. The system includes a web app, mobile extensions, and AI agents to automate repetitive tasks.

You may also collaborate with a react native developer or flutter developer for mobile features, so experience as an app developer is a plus.

Responsibilities
Build and scale frontend using React / Next.js
Contribute to backend with FastAPI development and Node.js
Work with Firebase / firestore for real-time features
Integrate AI capabilities as an Agentic AI developer (OpenAI API, Claude, AI Agent Development)
Design and consume RESTful API services
Collaborate with a python developer mindset for backend logic
Ensure performance, scalability, and clean architecture

Required Skills
Strong experience in Full Stack Development and Software Development
React, JavaScript, Node.js, Next.js
Experience with API Integration and RESTful API
Solid background in Software Architecture & Design
Backend experience with Python (FastAPI development)
Firebase / Firestore (realtime DB experience)
Experience with Artificial Intelligence, Machine Learning, AI Model Integration
Familiarity with OpenAI API, Claude, or similar tools
Experience working on SaaS or Lead Generation platforms

If this sounds like you, send examples of similar SaaS or AI-powered products you've worked on

Skills: JavaScript, Node.js, Express JS, Software Development, Full Stack Development, RESTful API, API Integration, Next.js, FastAPI, AI Development

What we're building
A multi-page health and ecommerce platform. The frontend designs are fully finalized in HTML/CSS — your job is to convert them faithfully into a React.js frontend with a Node.js + PostgreSQL backend. This is not a design project.

The platform has three core parts: a product marketplace (500+ SKUs, cart, checkout, payment gateway), a doctor/specialist directory with prescription management, and a suite of 6 AI-powered diagnostic tools with inbuilt logic / mechanism & some integrate with the Anthropic Claude API (text and vision).

Scope summary
~20 pages + admin panel · Ecommerce with Razorpay integration · User auth (JWT + OTP) · 6 AI tools (questionnaire-based + photo analysis via Claude Vision API) · CMS for blog + products · Prescription upload/management · Mobile-responsive throughout.

Detailed HTML prototypes, full design specs, and page-by-page requirements will be shared after shortlisting. NDA required before briefing.

Skills: PHP, JavaScript, Website Design, HTML, Node.js, PostgreSQL, React.js, API Development, Next.js, AI Model Integration

WHO WE ARE:
We are a transformational advertising, performance marketing, creative, and branding agency. We fully replace large in-house marketing teams for our clients, working directly under their CEOs across every marketing function — paid media, creative production, social media, funnels, email, content, and brand.

We operate on the most advanced AI tech stack in the industry — every premium generative AI subscription on the market — and we're looking for someone who can run with it. Our founding team has led hundreds of millions in annual media budgets globally for the largest ad agencies and tech companies. We launched mid-2025, currently serve 6 active clients, and are scaling aggressively toward six-figure monthly revenue.


PROJECT OVERVIEW:
Currently, we leverage mutliple AI sources, but it requires to perform multiple steps to turn raw files into a video with the right tone one of voice, cutting it into smaller pieces, hiring an editor, levaraging tools such as Runway and then applying multiple corrections, effectively wasting a lot of time and needing a lot of human intervention still.

We need orchestration layer to create a repeatable system that turns raw brand assets into channel-ready creative kits with minimal human input and/or friction.

We are looking for a highly specialized AI Expert to design and implement a custom Content Machine: an orchestration layer that turns raw brand assets into channel-ready creative kits with dramatically less manual work, fewer handoffs, and far more consistency.

The current workflow uses multiple AI tools and manual interventions to go from source materials to usable advertising assets. That means too many disconnected steps: organizing raw files, prompting multiple tools, generating rough outputs, fixing tone-of-voice inconsistencies, manually editing videos, resizing creative for channels, coordinating review rounds, and managing approvals asset by assets.

The goal is not to buy another isolated tool. The goal is to build a repeatable system that connects the right tools, enforces brand rules, reduces creative operations overhead, and helps the agency produce Ad Kits 10x faster while targeting a 3x efficiency improvement across the creative production workflow.

PROJECT SCOPE:
Design and build a Content Machine that can orchestrate a full creative workflow from intake to output.

At minimum, the system should be able to:
• Ingest raw files such as product shots, brand books, scripts, testimonials, UGC, founder videos, voice references, past ad winners, and campaign briefs, then generate derivative creative assets from that source.
• Create a system that produces outputs for multiple channels from one source set, including Meta, Google Display, TikTok, YouTube Shorts, LinkedIn, and HTML5 banner variants without requiring manual rework for every version.
• Generate both static banners and video ads from the same workflow, rather than maintaining separate production pipelines for each format.
• Reduce manual friction between content strategy, generation, editing, adaptation, review, and final deliverable.:

This is not a pure software engineering assignment and not a generic no-code automation task. The ideal expert understands how paid social and performance creative actually gets produced, versioned, reviewed, approved, and deployed across Meta, Google Display, TikTok, YouTube Shorts, LinkedIn, and HTML5 banner environments.

IDEAL TOOLS & SKILLS PROFICIENCY:
• AI workflow orchestration
• Creative automation at scale (ideally for agencies or performance teams)
• Prompt engineering for repeatable outputs
• API-based automation and workflow design
• Marketing operations
• Multi-format ad production
• Video generation and editing workflows
• Asset taxonomy and metadata design
• Template systems for brand-safe content generation
• Performance marketing creative understanding

WHAT SUCCESS LOOKS LIKE:
• We can upload a source pack once and trigger a structured creative generation process with minimal setup friction.
• The system can output multi-channel assets without requiring a human to resize, rename, and repackage everything manually.
• Tone of voice, visual consistency, and brand rules hold together across variants because prompt libraries, templates, and governance are built into the workflow.
• Videos can be beautifully and realistically created and cut into shorter variants and adapted for channel-native use with fewer manual editor hours.
• Approval is faster because reviewers are approving systems, templates, and exceptions, not every single asset one by one.
• Campaign launch readiness improves because outputs are better structured for downstream media buying and deployment.
• The team spends more time on strategy, testing, and iteration, and less time acting as glue between disconnected.

SUGGESTED PHASES:
Applicants should propose their own methodology, but a strong answer will likely include something close to this:

Phase 1: Discovery and system design
Phase 2: Prototype / pilot
Phase 3: Production build
Phase 4: QA, documentation, and handoff

PROPOSAL INSTRUCTIONS
To avoid generic responses, include the following in your proposal:

1. A short explanation of similar systems built for creative ops, ad production, or AI workflow orchestration.
2. The exact stack or architecture you would consider for this project.
3. Which parts should be custom-built versus which parts should use existing platforms.
4. How you would reduce manual intervention in video and multi-format asset adaptation.
5. A realistic first milestone for the first 2 to 4 weeks.
6. Examples, screenshots, Looms, or case studies if available.

We are building an advanced SaaS platform that functions as an AI-powered Data Protection Officer (DPO) and Chief Privacy & Security Officer, capable of autonomously managing an organization’s full data privacy and compliance program.
The platform combines:
• AI chatbot intelligence
• Agentic (autonomous) execution
• Real-time system monitoring
• Compliance automation
• Human consultation workflows
It is designed to analyze, act, and continuously optimize privacy compliance across an organization, including audit readiness and regulatory alignment.
________________________________________
Key Responsibilities
AI & Agentic Compliance Engine
• Build AI systems that can:
o Conduct gap assessments and gap analysis across privacy and security controls
o Perform Data Protection Impact Assessments (DPIAs)
o Continuously monitor compliance posture
• Design agentic workflows that:
o Identify risks
o Recommend actions
o Trigger automated remediation steps
________________________________________
🔹 Privacy Program Automation (Core Requirement)
Develop systems that can automatically create and manage a full data privacy program, including:
• Drafting data privacy policies
• Generating data privacy notices
• Managing Data Subject Access Requests (DSARs)
• Creating and maintaining data breach response plans
• Structuring organization-wide compliance frameworks
The system should act as a living, continuously updated privacy program.
________________________________________
Compliance Frameworks & Audit Readiness
• Build automation for frameworks, including
SOC 2
• Implement:
o Continuous control monitoring
o Risk scoring and prioritization
o Automated evidence collection
o Audit-ready reporting systems
________________________________________
Backend & System Architecture
• Architect scalable backend systems (microservices preferred)
• Build APIs for:
o Data ingestion
o AI orchestration
o Integration pipelines
• Design systems for high availability and enterprise-scale usage
________________________________________
Enterprise Integrations
• Integrate with:
o Cloud platforms (AWS, Azure, GCP)
o CRM systems
o Identity & access management tools
o Internal enterprise databases
• Build API-first infrastructure with webhook support
________________________________________
Frontend & User Experience
• Develop dashboards for:
o Compliance scores
o Gap analysis results
o Risk heatmaps
o Audit readiness status
• Build conversational UI for AI interactions
• Ensure clean, modern enterprise UX
________________________________________
Security & Data Protection
• Implement:
o End-to-end encryption
o Role-based access control (RBAC)
o Secure audit logs
• Ensure compliance with global data protection standards
________________________________________
Human-in-the-Loop Features
• Build a scheduling system for live consultations
• Integrate video and calendar systems
• Enable escalation from AI → human privacy expert
________________________________________
Required Skills & Experience
Core Engineering
• Strong experience with:
o JavaScript/TypeScript (Node.js, React) OR Python
• Experience building scalable SaaS platforms
• API development (REST/GraphQL)
________________________________________
AI / Automation
• Experience with LLMs and AI systems
• Understanding of:
o Prompt engineering
o Workflow automation
o Agent-based architectures (preferred)
________________________________________
Systems & Integrations
• Strong experience integrating third-party systems
• Deep understanding of APIs, webhooks, and distributed systems
________________________________________
Security & Compliance (Strong Advantage)
• Experience with:
o Data privacy systems
o Compliance tools
o SOC 2 environments
• Understanding of privacy laws and frameworks
________________________________________
What You’ll Be Building
• An AI-powered DPO chatbot
• An autonomous gap assessment and risk analysis engine
• A DPIA automation system
• A policy and privacy notice generator
• A DSAR management system
• A data breach response planning engine
• A SOC 2 compliance and audit-readiness platform
• A fully automated, continuously evolving data privacy program
________________________________________
Success Criteria
• Platform can autonomously:
o Identify compliance gaps
o Generate required documentation
o Monitor systems continuously
o Prepare organizations for audits
• System reduces manual compliance work by 70%+
• Delivers real-time, actionable compliance insights
________________________________________
What We’re Really Looking For
• A builder who can think like:
o A systems architect
o An AI innovator
o A product owner
• Someone who can turn complex regulatory requirements into automated systems

We are seeking an experienced full-stack developer to build and launch a modern MVP web application. The ideal candidate should be comfortable working with a fast, iterative development approach and delivering clean, scalable code. The project will involve building a responsive, mobile-first interface, implementing authentication and user roles, developing core CRUD functionality, and integrating third-party services.

Our preferred tech stack includes Next.js (React) with Tailwind CSS for the frontend, Supabase (PostgreSQL, Auth, Realtime) for the backend, and Stripe for payments (Connect experience is a plus). Additional integrations include SMS notifications (Twilio) and email services (Resend or similar). The application will be deployed on Vercel.

We are looking for someone who has experience shipping MVPs quickly, communicates clearly, and can work independently. The initial engagement is expected to last 4–6 weeks, with the potential for ongoing work based on performance and project needs.

We're building a consumer-facing AI agent platform — think Manus.im or Genspark, but white-labeled with custom context, trained data, and domain-specific workflows. We already have an MVP dashboard built on AnotherWrapper.com and need an engineer who can take ownership of the AI layer end-to-end.
What you'll build:
An agentic chatbot experience where users interact with AI agents that can reason, plan, execute multi-step tasks, browse the web, generate files, and work autonomously — all within our platform's context and data.
What we're looking for:

Deep hands-on experience with LLM orchestration frameworks (LangChain, LangGraph, CrewAI, OpenAI Assistants API, or similar)
Ability to design and implement multi-agent architectures — planning agents, execution agents, tool-use agents working together
Strong full-stack skills (Next.js/React + Python/Node backend) to integrate the AI layer into our existing dashboard
Experience with RAG pipelines, vector databases, and context management for domain-specific knowledge
Familiarity with tool-calling, function execution, and real-time streaming responses
Bonus: experience with MCP (Model Context Protocol), browser-use agents, or voice agent stacks

What we need from you beyond code:
This is not a one-off freelance gig. We need someone who takes real ownership — someone who proactively follows AI developments, suggests architectural improvements, handles agent updates and platform maintenance, and takes initiative without being asked. You'll be a core part of the team, not a ticket-executor.
The role in practice:

Ship fast. We have a near-term launch deadline and need a working agentic experience quickly.
Own the AI system long-term — agent logic, prompt engineering, model updates, infra scaling.
Collaborate directly with the founder on product direction and technical architecture.
Stay current with the rapidly evolving AI agent ecosystem and bring improvements to the table.

Ideal scenario: You've already built something agentic that works — show us. A demo, a repo, a product. That matters more than a resume.
Remote · Long-term collaboration · Competitive compensation based on experience