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Specifications – POC for Technical Product Assistant AI
1. Project Objective
Implementation of an AI integrated into a B2B e-commerce website specializing in technological products.

The site is structured around three hierarchical levels:
- Categories: group multiple product ranges and include SEO content explaining their usage and function.
- Ranges: represent a family of products with similar function or application, enriched with detailed technical descriptions (HTML + PDF).
- References: variants within a range (e.g., size, voltage, power), differentiated by technical attributes used as faceted filters.

Each product reference is enriched with structured technical data (attributes/facets), and searches are powered by the Meilisearch engine.

The AI must be able to:
a) Understand the technical questions or problems formulated by visitors.
b) Provide clear and well-argued technical responses based on the site's internal information at all levels (category, range, reference).
c) Identify and propose relevant products when necessary, but not exclusively.
d) Optionally enrich answers using general content from ChatGPT and Wikipedia.

A key constraint is the prohibition of including external commercial links in responses. All links must be filtered and only those on a predefined whitelist may be retained.
2. Expected Features for the POC
2.1 User Interface
- A simple interface (chat box or input field) on a dedicated page.
- Users can ask open-ended technical questions or express functional needs.
- Responses should be clear, structured, and optionally include product suggestions.
2.2 Question Analysis
- Understand technical problems (extract intent, key technical entities).
- Infer implicit criteria (e.g., voltage, usage, compatibility).
- Optional display of extracted data for debugging or validation.
2.3 Search and Response Generation
- Query Meilisearch to retrieve references filtered by facets.
- Cross-reference with 'range' (HTML/PDF) and 'category' (SEO) content.
- Generate an explanatory response using a language model (LLM).
- Optionally enrich responses with general knowledge from ChatGPT or Wikipedia, excluding unauthorized external links.
2.4 External Content Filtering
- No inclusion of commercial external links.
- Any generated link must be checked against a whitelist defined in a configuration file.
3. Data Sources
1. Category-level data (SEO): functional explanations for product families.
2. Range-level data: technical descriptions in HTML and PDF formats.
3. Reference-level data: technical attributes used in Meilisearch.
4. External content (ChatGPT, Wikipedia): for educational purposes only, without unapproved links.
4. Suggested Technologies
Requirement Possible Technologies
Question analysis / extraction Langchain / spaCy / Regex / transformers
Product search engine Meilisearch
AI response generation OpenAI GPT-4 / GPT-3.5 / internal model
Contextual retrieval (RAG) LlamaIndex / Langchain / ElasticSearch vector
POC Frontend interface React / Vue.js / basic HTML
Backend API Node.js / Python Flask or FastAPI
5. Project Phases
1. Structured data analysis (category/range/reference) – 0.5 day
2. NLP-based question understanding – 1 day
3. Meilisearch integration with facet filters – 0.5 day
4. Technical content integration (HTML/PDF) – 1 day
5. LLM-based response generation – 1 day
6. POC frontend integration – 1 day
7. Link filtering and testing – 0.5 day

Total estimate: ~5.5 man-days
6. POC Success Criteria
- The user submits a technical question or functional need.
- The AI understands the request and accesses the correct data layers.
- A technical response is generated and, if relevant, product suggestions are made.
- No unauthorized external links appear in the response.
- Everything is functional on a dedicated site page.

Job Title:
GoHighLevel + Synthflow AI Agent Builder for Local Business Automation

Job Description:


I'm looking for a skilled freelancer who can help build and deploy AI-powered voice or chat agents connected to GHL calendars, pipelines, and workflows. You'll also help configure GHL automations and ensure smooth handoff between AI, CRM, and follow-up sequences.

Responsibilities:

- Build and train Synthflow agents (inbound and/or outbound)
- Create workflows in GoHighLevel (form intake, tagging, SMS follow-up)
- Connect Synthflow to GHL using webhooks or direct integrations
- Set up GHL calendars, pipelines, and appointment logic
- QA all flows and ensure leads are routed correctly
- Build clean fallback logic and objection handling paths
- Optionally assist in designing agent avatars and branding

Required Skills:

- GoHighLevel CRM expertise (funnels, automations, calendars)
- Synthflow experience (or similar tools like Twilio Studio, Voiceflow, Chatbase, etc.)
- Webhooks, integrations (Zapier or native)
- Strong logic-building and flow structuring
- Fluent English (written and spoken)

Bonus Skills (Not Required, But a Plus):

- Experience building AI sales/chat agents
- Prompt engineering (ChatGPT, Claude)
- Graphic design for agent avatars or landing pages (Canva, Leonardo.ai)


How I Work:

I move fast, communicate clearly, and give you creative control — I just need a reliable builder who can execute cleanly and meet deadlines. I prefer Loom videos for feedback and use GHL and Notion to manage projects.

Project Scope:

This is a medium-sized project with the potential for long-term or ongoing work. You’ll start with one agent and booking system — and if all goes well, we’ll scale into multiple clients and systems.

Next Steps:

Please apply with:
- A brief summary of your experience with GHL and AI agents
- Links to past work or demo flows (if available)
- Your preferred timezone and availability

Let’s build something amazing.

What You'll Be Doing

Design, develop, and deploy AI/ML solutions using AWS, with a focus on Amazon Bedrock, Sagemaker, and related AI services, ensuring high performance and scalability.

Implement and optimize Retrieval-Augmented Generation (RAG) systems to unlock enhanced AI capabilities for various client applications.

Implement AI-powered document processing and workflow automation, demonstrating your knowledge in automating structured and unstructured data pipelines

Fine-tune large language models (LLMs) for specific business use cases, tailoring models for optimal performance and accuracy within the client's domain.

Build and optimize agentic workflows to enable dynamic, task-driven AI agents, streamlining complex processes and automating intelligent decision-making.

Architect scalable, secure, and cost-effective AI infrastructure on AWS, ensuring compliance with best practices and optimizing resource utilization.

What We Need To See

Strong understanding of the ML fundamentals and experience with designing end-to-end ML pipelines, from data ingestion to model deployment.

Solid knowledge of Retrieval-Augmented Generation (RAG), document processing, LLM fine-tuning techniques, including practical experience in implementing and optimizing these technologies.

Experience with text/image embedding and working with vector databases to store vectors such as Pinecone, Weviate or Opensearch

Experience in AWS infrastructure and services, including Lambda, Step Functions, ECS, SageMaker, Bedrock, Opensearch, showcasing your ability to build and manage complex cloud environments.

Experience with libraries such as scikit-learn, statsmodels, PyTorch, Langchain, LangGraph, Langfuse, demonstrating your proficiency in utilizing these tools to develop and deploy AI/ML solutions.

Experience in Python

Experience working in a client-facing role, managing technical discussions, and ensuring client satisfaction, demonstrating your ability to build strong client relationships and deliver high-quality solutions.

• Describe your recent experience with similar projects

What You'll Be Doing

Design, develop, and deploy AI/ML solutions using AWS, with a focus on Amazon Bedrock, Sagemaker, and related AI services, ensuring high performance and scalability.
Implement and optimize Retrieval-Augmented Generation (RAG) systems to unlock enhanced AI capabilities for various client applications.
Implement AI-powered document processing and workflow automation, demonstrating your knowledge in automating structured and unstructured data pipelines
Fine-tune large language models (LLMs) for specific business use cases, tailoring models for optimal performance and accuracy within the client's domain.
Build and optimize agentic workflows to enable dynamic, task-driven AI agents, streamlining complex processes and automating intelligent decision-making.
Architect scalable, secure, and cost-effective AI infrastructure on AWS, ensuring compliance with best practices and optimizing resource utilization.
Work closely with clients to understand their requirements and deliver tailored AI solutions that directly address their business challenges.
Stay up to date with the latest trends and advancements in AI/ML and AWS technologies, continuously learning and applying new knowledge to improve our solutions.


What We Need To See
Strong understanding of the ML fundamentals and experience with designing end-to-end ML pipelines, from data ingestion to model deployment.
Solid knowledge of Retrieval-Augmented Generation (RAG), document processing, LLM fine-tuning techniques, including practical experience in implementing and optimizing these technologies.
Experience with text/image embedding and working with vector databases to store vectors such as Pinecone, Weviate or Opensearch
Experience in AWS infrastructure and services, including Lambda, Step Functions, ECS, SageMaker, Bedrock, Opensearch, showcasing your ability to build and manage complex cloud environments.
Experience with libraries such as scikit-learn, statsmodels, PyTorch, Langchain, LangGraph, Langfuse, demonstrating your proficiency in utilizing these tools to develop and deploy AI/ML solutions.
Experience in Python
Experience working in a client-facing role, managing technical discussions, and ensuring client satisfaction, demonstrating your ability to build strong client relationships and deliver high-quality solutions.

• Describe your recent experience with similar projects

We are building a real-time voice AI assistant for a personal injury law firm. The goal is to create a system that can call insurance companies, speak naturally, ask claim-related questions, listen to human responses in real time, and respond instantly — without noticeable delay. This requires a live voice pipeline: Twilio (or another telephony layer) to handle the call, streaming audio to Whisper or Google Speech-to-Text for transcription, GPT-4 for natural language understanding and response generation, and ElevenLabs or Polly for ultra-realistic voice playback. The assistant should sound human, handle interruptions, and flow naturally like a real conversation. We are looking for a developer who can build this streaming AI voice loop with minimal latency and deliver a working MVP within 4–7 days. Please apply with your preferred tech stack, relevant experience in streaming voice/GPT projects, and a flat-rate bid

• Describe your recent experience with similar projects
• What techniques would you use to clean a data set?
• What tools do you use for data mining and visualization?
• How do you deal with outliers or missing values in a dataset?

We are looking for a skilled AI developer with full stack experience to build a casino chatbot platform from the ground up. The backend should be developed in Django, while the frontend will be built with Next.js. The platform will require authentication, integration with casino game providers, real-time chat functionality, and complex AI integrations as well as natural language processing.

Responsibilities:
- Design and implement a scalable Django backend with REST APIs
- Develop a modern, responsive frontend using Next.js
- Familiarity with developing AI applications
- Implementing natural language processing
- Integrate third-party casino game APIs and payment gateways
- Implement secure user authentication and authorization
- Ensure real-time chat and data updates between users and the platform
- Collaborate on architecture and deployment best practices

Requirements:
- Proven experience with Django and REST API development
- Strong skills in Next.js and modern frontend development
- Expertise in AI development and natural language processing
- Experience with authentication, and third-party integrations
- Familiarity with chatbots or gaming platforms is a must
- Ability to deliver clean, maintainable, and well-documented code

We are seeking a professional collaborator who can take full responsibility for enhancing the codebase and writing a comprehensive research paper that meets international academic publication standards. Develop a hierarchical deep learning framework that integrates multiple AI models to analyze heterogeneous medical data, with a particular focus on blood test results and genomic data related to blood cancers. The models involved include Transformers, CNNs, and reinforcement learning or grid search, and the architecture should support both local and global feature extraction using attention mechanisms and residual connections. This project aims to deliver not only high classification accuracy but also meaningful interpretability to assist medical professionals in making accurate and timely diagnostic decisions. Key Objectives 1. Develop a robust and scalable deep learning framework that processes multi-modal medical data. 2. Enhance feature extraction using attention layers and residual connections for better handling of complex biomedical signals. 3. Improve classification performance via a confusion strategy combining predictions from multiple models. 4. Evaluate the performance of the proposed system against traditional ML algorithms and existing diagnostic approaches. 5. Integrate multiple Explainable AI (XAI) techniques to ensure model interpretability, including visual explanations for medical professionals. 6. Apply the framework to two datasets that we will provide. 7. Perform 5-fold cross-validation and standard evaluation (training/validation/testing) on both datasets, and compare results in the paper. 8. Apply Grid Search for model optimization and maintain the use of confusion matrices throughout for performance evaluation. 9. Achieve accuracy improvements, particularly on the both dataset, by any suitable means—including new models or architectural changes. ⸻ Explainable AI (XAI) Component • Implement multiple XAI tools ( SHAP, LIME, Grad-CAM, Integrated Gradients). • Visualize the decision-making process of the deep learning models across datasets. • Include a comparative evaluation of the effectiveness of each XAI method. Research Paper Requirements • The final paper must be comprehensive and academic-grade, intended for submission to a high-ranking peer-reviewed journal. • Length: more than 35 pages to reflect the depth and complexity of the work. • Include all standard academic sections: Abstract, Introduction, Related Work, Methods, Experiments, Results, Discussion, Conclusion, and References. • A literature review of at least 25 academic studies is required. • The paper must undergo a plagiarism check using iThenticate and turinitin. We will provide the report, and the final version must have a similarity index below 9%. • Integrate comparative analysis across datasets, models, and XAI tools. Note: we have code but need enhance and improve on it. I need publish this paper in ISI Q1.

Skills: Research, Technical Writing, Article Rewriting, Artificial Intelligence, Deep Learning

About Us:
Lucraliv is a fast-growing AI sales enablement company helping service-based businesses install high-converting AI call agents that handle inbound/outbound calls, qualify leads, and book appointments. Our clients include medspas, insurance agents, and home service providers. We move fast, deliver excellence, and are obsessed with client results.

We’re looking for a tech-savvy fulfillment specialist who can own the process of building and managing our AI agents using Synthflow and GoHighLevel (GHL) — or recommend a better stack if needed.

What You’ll Do:
✅ Build AI call agents using Synthflow or equivalent

✅ Set up call flows, logic trees, fallback messaging, and integrations

✅ Customize scripts based on client intake forms

✅ Set up and maintain client accounts inside GoHighLevel

✅ Integrate calendars, CRM pipelines, workflows, and automations

✅ QA test the AI call flows before launching

✅ Troubleshoot errors and optimize agent performance

✅ Provide basic weekly reports or check-ins

✅ Recommend tech improvements or more scalable solutions when needed

Ideal Candidate:
💡 Expert-level experience with GoHighLevel (must-have)

🎙️ Experience with AI voice tools like Synthflow, Twilio, or others

🧠 Understands lead conversion and sales logic (not just automation)

🔧 Proficient with Zapier, Calendly, Google Sheets, Slack

🗣️ Fluent in English, strong written & verbal communication

📈 Bonus: Familiar with appointment setting, lead gen, or CRM optimization

What We Offer:
📦 Ongoing, project-based work with clear systems

💵 Pay per project ($500–$750 per client setup) or hourly ($25–$35/hr)

🚀 Opportunity to grow into a full-time Operations or Tech Lead

🔐 Transparent systems, clean communication, and fast decision-making

🧠 We value autonomy, initiative, and people who solve problems without hand-holding

Project: Development of AI Agent for Primary Customer Support, Lead Qualification, and Appointment Scheduling Business messaging API (Botpress + n8n + API + CRM)

Project Description:
We are looking for a freelancer with proven experience in generative AI conversational agents to develop a scalable and modular solution that automates primary customer support, answers frequently asked questions, qualifies leads, and schedules appointments. The system must be replicable across different locations and sales teams.

Project Objectives:

1. Develop a conversational agent in Botpress, connected to the Business messaging API, capable of:

* Handling leads in real time.
* Responding to frequently asked questions (FAQs) naturally and personally.
* Automatically qualifying leads based on predefined criteria.
* Scheduling visits to physical points of sale and sending confirmations to the CRM.
* Transferring conversations to a human agent if necessary.

2. Automate flows using n8n, including:

Integration with our main CRM (KOMMO).
Automatic updates of lead stages and task creation.

3. Standardize the knowledge base:

Migrate and structure our FAQs in Markdown or CSV format, ready for agent training.

Mandatory Tools and Technologies:**

Botpress (as the main conversational agent framework)
Business messaging API** (for lead handling and follow-up)
N8N (for flow automation and integrations)
SugarCRM (via REST API) and Kommo (as complementary CRM)
FAQs provided in Markdown or CSV format

Freelancer Profile:
We require a professional with experience in AI agents for sales, support, or customer service (using Botpress), strong API integration skills (ideally with Kommo or SugarCRM), and knowledge of JSON, REST APIs, and programming.
Required: expertise in n8n flows ability to communicate in Spanish, and strong documentation practices. Ability to design scalable and reusable structures is essential.

Expected Deliverables:**

Functional AI agent in Botpress, connected to Business messaging API and integrated
Automated workflows with n8n
Active integrations with SugarCRM (and documentation for Kommo connection)
Trained interface using FAQs provided by our team
Fully functional proof of concept
Technical manual and user training
Minimum 15 days of post-delivery technical support

We are seeking a talented developer to help finalize a Minimum Viable Product (MVP) for an AI-powered HR tool tailored for consultants. This role includes ongoing developer services throughout our pilot program, ensuring the MVP meets functional and quality expectations. The ideal candidate should have experience with Replit and a strong understanding of AI integration. Collaboration and flexibility are essential as we navigate the pilot phase. If you’re passionate about innovative HR solutions and thrive in a dynamic environment, we would love to hear from you.

We can hop on a call to discuss my needs but need a content AI bot.

I manage several active ventures—bioscience research, technical analysis, real estate, and smaller projects—and rely on AI every day. Because new tools appear faster than I can track, I need an on-demand tutor who can teach me (a project manager across all companies) how to use cutting-edge AI platforms hands-on.

What you’ll do:
• Run 1-on-1 live sessions via screen-share and voice (Zoom, Meet, etc.) between 09:00 – 19:00 Pacific Time (UTC-7).
• Focus each session on practical tasks I send in advance; no formal lesson plans required.
• Supply quick tips, cheat-sheets, or update notes when helpful.

Core expertise (all required):
• Generative image/video platforms — Leonardo.ai (mandatory) plus tools such as Midjourney, Runway, Pika, etc.
• Large-Language Models — ChatGPT, Claude.ai, and comparable LLMs.
• AI-assisted coding / “vibe coding” workflows — GitHub Copilot, Cursor, Replit AI, or similar.

Ideal candidate:
• Proven, expert-level mastery of the above tools (portfolio or verifiable examples).
• Prior tutoring/consulting experience; able to explain concepts clearly to non-developers.
• English: native-level or fluent with clear, professional intonation.
• Comfortable with ad-hoc scheduling; typical load ~5–10h/month to start.

How to apply:
1. AI-written cover letter that speaks specifically to this role—exclude unrelated experience.
2. Prove your AI skill: attach at least one job-relevant AI-generated artifact (e.g., an image created in Leonardo.ai or a short AI-generated/AI-enhanced video). Generic or recycled content will be ignored.
3. Answer all screening questions below.

• What days/times are you available for sessions? Include your time zone.
• Do you have expert-level proficiency with Leonardo.ai? (Yes/No)
• Provide a public link to your coding repository (GitHub, GitLab, etc.).

I’m looking for an experienced artificial intelligence prompting expert to create some vlog style videos like those that are popular in social media right now (Like this one: https://www.instagram.com/reel/DK1x96RT-Tb/?igsh=MXRxdWh5aHJ1OWNmcg==)

The characters will be animals and I will provide you the general storyline. Please share with me some AI videos you have produced through prompting in the past to prove you can complete this task

We are seeking a skilled developer to create an AI agent that will manage Instagram consultations specifically focused on veneers. The ideal candidate will have experience in AI development and social media integration. The AI agent should be capable of answering inquiries, analyzing photos of people's smiles, providing information about veneers, and guiding potential customers through the consultation process.

We have past Instagram conversations we can use to help train the model.

• What would you use to train the AI agent?
• Do you have an AI agent you have built that I can test?
• How would you train the agent to determine the amount of veneers needed?
• how long will it take you to develop the agent?
• How can you ensure security with implementing the AI agent? I would prefer not to give out my instagram login credentials.

We are seeking a skilled freelancer to develop a voice AI agent using Bland AI. The primary task will involve integrating this AI agent with Make.com to automate the process of sending Google Calendar invites based on voice commands. The ideal candidate should have experience in AI development, API integration, and a good understanding of calendar management systems. This role will require creativity and problem-solving skills to ensure smooth functionality and user experience.

🧠 Project Overview

We’re building MiDoctor – an AI-powered health assistant that simulates a general physician. The user chats with a bot for symptom triage, then pays a small consultation fee to speak with a real doctor. The system must work through a messaging-based chatbot (via approved business APIs) and a simple Android app (Flutter).

This is a real, funded startup backed by Harvard Spark. We need someone who can own and deliver the complete build — tested and ready for launch — without needing handholding.

⸻

✅ Scope: You Will Build & Deliver Everything

1. Messaging-Based AI Chatbot
• Built using a business API platform (you can suggest the best)
• GPT-4-style triage: collects symptoms, follows up, assesses risk
• After triage, sends payment link (via any approved payment API)
• On payment: triggers handover to a real doctor (chat/call)
• Chat history saved securely in backend
• Option to send a PDF prescription after consult

2. Flutter Android App
• OTP-based login
• AI bot integrated into the app (same logic as above)
• Payment gateway integration
• Chat/call handover to doctor
• Prescription delivery and consult history
• Clean UI for Tier 2/3 India users

3. Backend Setup
• Firebase or Supabase
• Auth, chat logs, user records, prescription uploads
• Admin dashboard (view users, cases, doctor responses)
• Doctor dashboard (view case, send Rx, close consult)

⸻

🔐 Must-Haves
• Sign NDA (we provide)
• Full source code and credentials handed over
• You do testing + help with live setup (Play Store and messaging bot)
• Deliver fully within 10–15 days (max)

⸻

💰 Budget
• Fixed: ₹50,000–₹65,000 INR (or equivalent USD)
• Bonus available if you deliver in 10–12 days

⸻

🔍 To Apply:
• Show 1 chatbot or AI messaging tool you’ve built
• Show 1 Flutter app with payment + backend
• Confirm you’re okay with full code handover & NDA
• Confirm you can deliver in under 15 days

Full AI Sky Replacement System for Server-Side Implementation (Photoshop Quality)"

--- Overview:

I am looking for an experienced computer vision engineer or AI developer to implement a fully functional, high-quality sky replacement system that runs on a Linux server (ideally FastAPI-compatible). The system should deliver results comparable to Photoshop or Luminar AI, with proper sky detection, segmentation, blending, and lighting correction.


--- Deliverables:

1. Sky segmentation model (pretrained or custom trained)


2. Foreground-background separation with edge handling (trees, hair, etc.)


3. Sky blending & tone matching algorithm


4. Batch API endpoint (e.g., FastAPI) to upload photo + sky and get result


5. Post-processing pipeline (blurring, feathering, color correction)


6. Optional: Skin/human area preservation


7. Complete source code, environment setup, and deployment guide

--- Preferred Technologies:

Python (OpenCV, PyTorch/TensorFlow, NumPy, scikit-image)

FastAPI (for API)

Any efficient model for segmentation: U^2-Net, DeepLabV3+, MODNet, SkyAR, etc.

--- Sample Input/Output:

Please include examples where:

The sky overlaps with trees or hair

There is backlighting or exposure differences

Overcast or gray sky needs vibrant replacement

--- Constraints:

Must run efficiently on GPU-enabled server or optimized CPU fallback

Output should be high-resolution
Open-source base preferred (or license-cleared)

No third-party API (must run locally)

--- Timeline:

Delivery within 1 week including revisions.

Skills: Linux, Artificial Intelligence, Image Processing, Deep Learning, FastAPI

I am the owner of a dental office. I want to create videos using Ai avatars and voices to make training manuals for my team. I also want to make similar Ai avatar and real person videos for patient education and marketing.

For the training manuals, we will also want this in a written format that can be saved in a folder.

I have entered a lot of the office policies and procedures into chatgpt and Otter Ai so it can be quickly referenced.

• Describe your recent experience with similar projects
• Please list any certifications related to this project
• Describe your typical design process and methods
• Describe how you work on a cross-functional team
• Where do you get inspiration from?

# IT & Automation Engineering Architect

## The Mission

At our core, we're not just about eCommerce – we're about transformation. We turn founders with ideas into founders with revenue. Every 7 days, someone within our communities hits their first $10,000 in sales because of our frameworks and services. We have the mission to be able to generated 1 new founder hitting their first 10,000 in sales every hour or in total generating $87 million in annual sales, and our influence extending to over $1 billion across all businesses we impact with our team.

Now we need someone who can build the technical architecture behind our next phase of growth.

## The Role

As our IT & Automation Engineering Architect, you'll be the technical mastermind who transforms how we operate at every level. We're not looking for someone to maintain systems – we're looking for someone to reimagine them.

You'll create the invisible infrastructure that powers extraordinary client results, gives our team superpowers, and turns data into competitive advantage.

## What You'll Do

* **Design the Nervous System of Our Business** – Connect and optimize our tech stack (Close.com, Active Campaign, Zapier, Webflow, Airtable, Slack, Google Workspace, Figma, Skool, Xero, Hyros) to eliminate friction and amplify results and increase efficiency

* **Build the Brain Behind Our Operations** – Develop AI-powered systems that learn, adapt, and automate, freeing our team to focus on high-value work that machines can't do. Some of these AI systems will be: Sales team data analysis, product sourcing tools, marketing analysis and performance mechanisms.

* **Architect Our Data Advantage** – Create a sophisticated data lake that transforms raw information into actionable intelligence, predictive insights, and competitive edge (this is to be done through our current system which is Airtable until we graduate to a more comprehensive system.

* **Engineer Client Breakthroughs** – Develop tools and dashboards that give clients unprecedented visibility and control over their growth journey

* **Enable Organizational Leverage** – Design systems that allow every team member (from leadership to marketing, sales to delivery) to maximize their impact through technical amplification

## What You Bring

* **Technical Versatility** – Proficiency in Python, Java, C++, and JavaScript that enables you to select the right tool for each unique challenge

* **Systems Thinking** – Experience integrating complex tech ecosystems, particularly around Shopify's platform and API

* **Automation Expertise** – Proven ability to identify, design, and implement workflows that eliminate repetitive tasks and enhance productivity

* **Data Fluency** – Deep understanding of how to structure, manage, and extract value from large datasets

* **AI Implementation** – Experience deploying artificial intelligence to solve real business problems

* **Business Acumen** – 6+ years experience applying technical solutions to drive measurable business outcomes

* **Communication Clarity** – Ability to translate complex technical concepts into language that inspires action across all departments

## Where This Role Can Take You

This position sits at the intersection of technology and business strategy. As you succeed, your path could lead to:

* Building and leading our technical innovation department
* Pioneering industry-first solutions that redefine eCommerce consulting
* Joining our leadership team to shape company-wide strategy and growth

## Our Promise to You

* **Real Impact** – Your work will directly help entrepreneurs build successful businesses
* **Technical Freedom** – The autonomy to choose the right approaches and technologies that can impact the companies trajectory
* **Remote Flexibility** – Work from anywhere while collaborating with a world-class team
* **Growth Partnership** – We invest in your development as you help us grow
*** Close and direct work with the CEO to bring innovations, projects and ideas to life

## How to Join Us

If you're the kind of person who sees technology not just as tools but as transformative leverage, we want to talk.

1. Submit your portfolio highlighting systems you've built that drove business results (please provide specific examples and current/relevant case studies)
2. Include a note explaining the most innovative automation you've ever created (this will be reviewed by the CEO)
3. Prepare to demonstrate your problem-solving approach in our technical discussion & research eCom Capital to be able to provide insight into the reasons you think working in this organisation would be aligned.

Our selection process focuses on how you think, not just what you know. We care about your ability to envision solutions to problems we haven't even recognized yet.

---

*We're building something extraordinary. If you're the right person for this role, you already know it. Apply now and let's create the future of eCommerce entrepreneurship together.*

We need help building an AI-powered automation system using n8n, OpenAI, and Pinecone.

The system should process text material stored in Google Drive (3–5 Google Docs per folder with 5 Drive folders), break the text into chunks, embed each chunk using OpenAI, and store the results in Pinecone with relevant metadata (Folder, Name, Content).

Once this is complete, we want a simple chat input where we can query the content and get comprehensive responses that take into account all relevant text content.

We need a simple set up to start with in order to produce content, but after this job is done we want to add more functionality and integration

Required Skills:
• Strong experience with n8n
• Google Drive and Docs API usage
• OpenAI API integration (Embeddings and Completions)
• Pinecone setup and vector indexing
• JavaScript for logic inside n8n Function nodes
• Basic understanding of educational content workflows

If you are interested, please let me know how long this would take you and similar jobs you have done

We’re developing a compact, battery-powered smart sensor device for garage environments that detects specific mechanical failure events using a combination of motion and sound analysis. The system uses embedded logic for real-time detection and cloud-connected alerts.

We’re seeking an embedded developer to help us complete the first version of the firmware, with plans to integrate AI-based detection models in future versions. Initial development will focus on rule-based detection logic. Future work may involve training and deploying lightweight ML models once enough data has been collected.

⚠️ Details of the exact detection logic and product function will be shared after signing an NDA. This is a patented product under development.

⸻

🔧 Responsibilities:
• Program an ESP32-C3 microcontroller to:
• Read data from motion sensor (MPU6050) and MEMS microphone (INMP441)
• Apply logic to detect specific combinations of sound + motion events
• Trigger local alerts (LED or buzzer) and/or send cloud alerts (WiFi)
• Manage low-power consumption using deep sleep or other methods
• Enable WiFi-based communication (via MQTT or Firebase)
• Work with our team to tune event thresholds and testing parameters

⸻

📦 Device Hardware (Provided):
• ESP32-C3 module (WiFi-only)
• MPU6050 IMU (motion sensor)
• INMP441 or MAX4466 microphone (sound input)
• Power source: 2xAA or 3.7V LiPo battery
• LED/Buzzer (optional for audible/visual alerts)
• Waterproof enclosure (final unit)

⸻

🔮 Future Development Plans (AI/ML Integration):

After v1 is complete, we plan to:
• Collect real-world event data from units in the field
• Train an on-device ML model (TensorFlow Lite Micro or similar)
• Replace fixed threshold logic with learned anomaly detection
• Add predictive failure alerts before physical failure occurs
• Expand to technician dashboards and multi-device cloud systems

Experience with any of the above will make you a long-term candidate as we expand the product.

⸻

✅ Ideal Skills:
• ESP32 (C/C++ or Arduino framework)
• Sensor integration (IMU + MEMS mic)
• WiFi networking (MQTT, Firebase, OTA preferred)
• Low-power design and battery optimization
• Experience with anomaly detection or on-device ML is a plus
• Bonus: familiarity with TensorFlow Lite for microcontrollers

⸻

📌 Project Info:
• Timeline: 2–4 weeks for working prototype firmware
• Budget: Open to hourly or fixed
• Phase 2 may involve AI model development, app sync, and OTA support
• Remote OK (we handle field testing and data gathering)

Job Title:
Full-Stack Developer (Node.js + React) – Freelance with Contract-to-Hire Potential

Job Description:
We're building a smart, AI-powered Proposal-to-CRM tool, and we’re looking for a talented full-stack developer to join us during the MVP phase.

This freelance role has a clear pathway to a contract-to-hire position for the right person. You'll work closely with the founder and a small team to ship fast, iterate quickly, and help scale a powerful platform that simplifies client acquisition and service automation.

Key Responsibilities:
Develop and deploy APIs to support client onboarding and integrations

Set up and manage backend database architecture (PostgreSQL, MongoDB, or similar)

Support website and chatbot (text + voice) deployments

Build and maintain automations for internal workflows and client-facing tools

Service bespoke client requirements through custom logic, automations, and chatbot integration

Troubleshoot and maintain deployed features as we scale

Ideal Skills:
Node.js, React.js, TypeScript

API development – REST, GraphQL

Database management – MongoDB, PostgreSQL, MySQL

Cloud experience – AWS, GCP, Serverless

Chatbot & voicebot deployment – (OpenAI, Dialogflow, etc.)

Automation experience – Zapier, n8n, custom scripting

Bonus: DevOps and CI/CD exposure, familiarity with CRM workflows

About You:
You work independently and take ownership of features

You’re comfortable adapting to startup pace and shifting priorities

You’re responsive and async-friendly (we’re timezone flexible)

You’re open to exploring a longer-term role as we grow

Project Phase:
MVP already live

Now building out integrations, improving user onboarding, and servicing custom client needs through automation and support tools

To Apply:
Please include:

A brief intro with relevant experience

Links to any past projects or work

Your hourly rate and preferred time zone/availability

Let’s build something clever and useful—fast 🚀

Interim CEO (6-Month Term) – Light Advisory Role for AI Recruiting Tech Startup

Description:
Talent Frequency is an AI-driven recruiting technology startup specializing in Conversational AI Voice & Chat Solutions for Talent Acquisition teams. We’re seeking a credible and professional Interim CEO for a 6-month term through the end of 2025, serving as the public-facing executive while providing light strategic advisory support to the founder.

This is not a full-time operational role. It is ideal for a seasoned executive or senior advisor who is open to lending their name, brand presence, and occasional strategic insights to a high-potential startup scaling in the HRTech and AI space.

Responsibilities:
Serve as Interim CEO listed on LinkedIn and client-facing materials (title required on LinkedIn profile during the term).

Provide light strategic advisory support to the founder via bi-weekly 30-minute calls (2x per month).

Participate in occasional review or advisory calls with prospective enterprise clients (optional).

Lend executive credibility to help accelerate partnership, investor, and customer growth.

Support as-needed input on GTM strategy, positioning, or branding (optional, not operational).

Qualifications (Preferred, not required):
Experience as a CEO, COO, or executive within tech, AI, HRTech, or Talent Acquisition industries.

Familiarity with Conversational AI, recruiting automation, or emerging AI technologies.

Strong LinkedIn presence or network preferred.

Comfortable representing a startup in growth mode.

Previous experience in an interim, fractional, or advisory board role is a plus.

Compensation Structure:
This is not a salaried role.

Compensation will be structured as a commission or percentage-based incentive (e.g., X% of net revenue from closed deals over the 6-month term).

Opportunity to extend or convert into a longer-term advisory or equity-based relationship after 2025.

Term:
Start: July 2025

End: December 31, 2025

Time commitment: ~1 hour/month (plus LinkedIn/title visibility)

To Apply Please include:

A link to your LinkedIn profile.

A short summary of relevant executive, AI, or recruiting experience.

Confirmation that you’re willing to list “Interim CEO – Talent Frequency” on your LinkedIn during the term.

Any prior experience in startup advisory or figurehead roles.

Project Overview
Build an advanced AI agent system that generates complete 25-30 page marketing strategy documents from form inputs and trained knowledge base. This is NOT a simple ChatGPT wrapper - requires enterprise-level AI orchestration.
What We're Building
Input: Client onboarding form + knowledge base of strategy calls/documents
Output: Professional, branded strategy document (8 sections, 25-30 pages)
Platform: Must work within our n8n + Google Workspace
Technical Requirements
Knowledge Base & Training

Process 50+ hours of strategy calls/videos/content into searchable format
Ingest strategy documents, frameworks, and templates
Implement smart content retrieval (vector DB or your preferred method)
System must "learn" from consultant's voice, style, and methodology

AI Agent System

8 specialized agents handling different strategy sections:

Business audit, competitor analysis, positioning, digital presence, channel strategy, customer retention, implementation roadmap, KPIs


Master orchestrator that coordinates all agents and combines outputs
Quality control ensuring consistent voice/branding across sections
Error handling and recovery for production reliability

Integration Requirements

Webhook trigger from GoHighLevel form
Output to formatted Google Doc with branding
Log all projects to Google Sheet for tracking
Must use OUR n8n workspace and API keys only

Deliverables

Modular n8n workflows (8 agents + master orchestrator)
Knowledge base system with content ingestion process
Quality assurance workflows
Complete system demo with sample data
Documentation for ongoing content updates

Required Expertise
Must have proven experience with:

Complex n8n workflows (10+ node workflows)
AI agent orchestration and prompt engineering
Vector databases or advanced knowledge retrieval systems
API integrations and webhook management
Quality assurance for AI-generated content

To Apply, Answer These:

Knowledge Base Approach: How would you handle training an AI system on 50+ hours of strategy calls to ensure relevant context retrieval?
Multi-Agent System: Describe your approach to coordinating 8 specialized AI agents that must work together sequentially.
Quality Control: How do you ensure consistent output quality across multiple AI agents?

Include in your proposal:

Example of a complex n8n workflow you've built
Your recommended tech stack for this project
Any improvements you'd suggest to our approach

Red Flags - Don't Apply If:

You've never built multi-agent AI systems
You're unfamiliar with vector databases/embeddings
You can't work within our existing n8n workspace

This requires genuine AI systems expertise. Generic applications will be ignored.

• Knowledge Base Approach: How would you handle training an AI system on 50+ hours of strategy calls to ensure relevant context retrieval?
• Multi-Agent System: Describe your approach to coordinating 8 specialized AI agents that must work together sequentially.
• Quality Control: How do you ensure consistent output quality across multiple AI agents?

We are seeking a skilled developer to create a Fully Automated AI Answering System. This system should integrate with our website and Facebook, allowing incoming queries to be monitored and routed to AI for instant responses. The ideal candidate will have experience in custom API development and AI integration. Your expertise will help us enhance customer interaction and streamline communication. Strong problem-solving abilities and familiarity with AI frameworks are essential to deliver a seamless user experience.

I have a task that requires an automation flow built out in Lindy.ai.
This will be the first of many tasks and automations/vibe marketing solutions I’m looking to implement.
The right candidate will let me know their Lindy ai experience and other vibe marketing capabilities

I'm looking for an innovative creator to develop AI-generated comedy skit content for my YouTube channel. The skits should be engaging and humorous, specifically in the form of parodies.

Key Requirements:
- Use of AI tools to generate content.
- Creativity in developing parody themes.
- Ability to create entertaining and engaging video clips.

Ideal Skills:
- Experience in content creation for YouTube.
- Proficiency in AI content generation.
- Strong understanding of comedy and parody formats.

Please submit samples of previous work and your approach to this project.

Skills: Content Writing, Artificial Intelligence, Content Strategy

Hey, i need someone to generate me ai models for monetisation

I am seeking a knowledgeable research assistant to support my capstone project focused on the evolving role of leadership in the clinical research sector as influenced by artificial intelligence. The ideal candidate will have experience in both leadership concepts and clinical research. Responsibilities include looking at the research already done and consolidating and adding and then helping me put it into the final output with help on the paper and poweproint. If you are passionate about leadership and innovation, I would love to collaborate with you.

Freelance / Remote / Contract-based (Short-term with potential extension)

We are developing a modern Order Management System (OMS) with backend services in Node.js, frontend in React.js, hosted on AWS, and data persistence in PostgreSQL. Most of the core modules are already built. We’re looking for a skilled freelance developer who can leverage AI-powered coding tools (like GitHub Copilot, Cursor, ChatGPT, CodeWhisperer, etc.) to accelerate completion, ensure code quality, and guide us on integrating AI development workflows in the team.

Key Responsibilities:
Analyze and understand existing codebase and architecture.

Use AI coding tools (Copilot, Cursor, ChatGPT, etc.) to speed up development, suggest improvements, and fill gaps in logic.

Complete pending modules like:

Invoice and billing generation

Order lifecycle workflows

Notification engine

Admin analytics dashboard

Write secure, testable, and maintainable code.

Collaborate on GitHub and follow DevOps best practices.

Optimize queries and data models in PostgreSQL.

Ensure system is production-ready and deploy via AWS (e.g., EC2, Lambda, RDS, S3).

Document how AI tools are integrated into the development workflow.

Guide the internal team on how to set up and effectively use AI coding assistants.

AI Integration Expectations:
Active use of AI Tools: Use GitHub Copilot, Cursor, ChatGPT, or equivalent for code completion, unit test generation, bug fixing, and architectural decisions.

Setup & Training: Assist in setting up AI tools for other developers (extension installation, configuration, prompt strategies).

AI-Enhanced Productivity: Demonstrate how AI tools improve velocity (e.g., writing boilerplate, auto-documentation, etc.).

Explainable Output: Share AI prompts used and rationale behind generated code for transparency and team learning.

Required Skills:
4+ years experience with Node.js (Express, REST APIs)

Strong proficiency in React.js (Hooks, Functional Components)

Expertise in PostgreSQL (indexes, optimization, schema design)

Experience deploying apps on AWS (EC2, S3, RDS, Lambda)

Familiar with Git, CI/CD, and Dockerized environments

Experience using or strong interest in AI developer tools like:

GitHub Copilot / Copilot Labs

Cursor IDE

ChatGPT (for pair programming or code generation)

or Any AI code generator tool

Skills: NoSQL Couch & Mongo, Node.js, AngularJS, Artificial Intelligence, ChatGPT

I am seeking a talented individual to create a Brazilian-like female model using AI software for my trial OnlyFans page. The model must possess a human-like appearance and exude a seductive charm. Ideal candidates will have experience with AI modeling and a keen understanding of the aesthetics that appeal to a specific audience. If you have a portfolio showcasing your previous work in AI-generated models, I'd love to see it! Please apply if you are creative and can bring this vision to life.