Get a custom Generative AI application — AI agents, RAG pipelines, LLM integrations or FastAPI backends — built by a specialist London-based team using LangChain, OpenAI, LLaMA and more.
I Will Build AI Agents, RAG Pipelines and GenAI Apps in Python
A small or medium, well-defined GenAI project with research, data preprocessing, API integration and full source code.
- Small or medium scope GenAI / AI agent project
- Research and data preprocessing included
- API integration (OpenAI, Groq, LLaMA, etc.)
- LangChain / LangGraph pipeline setup
- FastAPI backend integration
- Full source code delivered
Everything in Starter plus custom model creation, fine-tuning and thorough model documentation.
- Everything included in the Starter Build
- Custom model creation tailored to your use case
- Model fine-tuning on your data or domain
- Full model documentation provided
- Agentic AI / autonomous agent development
- Full source code with documented architecture
Complete end-to-end GenAI application with model creation, fine-tuning, validation, testing and performance monitoring.
- Everything included in the Standard Build
- Model validation and rigorous testing suite
- Performance monitoring setup and reporting
- RAG pipeline with intelligent data retrieval
- Scalable, modular component-based architecture
- End-to-end support from development to deployment
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Value Position
AI Tech Stack
Delivery Tiers
Source Code Included
Scalability Options
What You'll Receive
Full Description
If you have a Generative AI idea that needs turning into a working, production-ready application, this is where it happens. Whether you need an autonomous AI agent, a Retrieval-Augmented Generation (RAG) pipeline, an LLM-powered API, or a full GenAI web application, the Zinn Digital team delivers clean, well-documented Python code that is built to scale.
This service covers the full breadth of modern Generative AI engineering. At the entry level you receive research, data preprocessing, API integration and complete source code for a small or medium, well-defined project — delivered in three days. Step up to the Standard tier and model creation, fine-tuning and thorough model documentation are added, giving you a genuinely trained or customised model alongside your application. The Full Build tier adds model validation, testing and performance monitoring, giving you end-to-end confidence before your application goes live.
What is included across all tiers:
• Bespoke GenAI web applications powered by state-of-the-art models
• LangChain and LangGraph pipelines for dynamic, multi-step AI workflows
• AI Agents and Agentic AI systems capable of autonomous, tool-using task resolution
• RAG (Retrieval-Augmented Generation) for intelligent, context-aware data retrieval
• FastAPI integration for high-performance, production-grade backend APIs
• Transformer models for NLP tasks including text generation and classification
• LLM deployment using OpenAI, Groq and LLaMA for real-time applications
• Modular, component-based architecture for maintainable and scalable codebases
• Full source code delivered with every order
How it works: after placing your order, provide a clear brief via the order chat. The team will review your requirements and reach out if any clarification is needed before development begins. You will receive iterative updates and have unlimited revisions to ensure the final delivery matches your vision.
This service is ideal for startups prototyping an AI product, developers who need a specialist to implement complex GenAI architecture, businesses integrating LLMs into existing workflows, and researchers needing rapid proof-of-concept builds.
Zinn Digital is a London-based team with deep expertise in Generative AI, Agentic AI, API development and machine learning engineering. Every project is delivered with scalable architecture, secure implementation and clean, readable documentation — so your team can maintain and extend the work confidently long after delivery.
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Compare Packages
| Feature | Starter Build | Standard Build | Full Build |
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
| Revisions | unlimited | unlimited | unlimited |
| Small or medium scope GenAI / AI agent project | ✓ | ✕ | ✕ |
| Research and data preprocessing included | ✓ | ✕ | ✕ |
| API integration (OpenAI, Groq, LLaMA, etc.) | ✓ | ✕ | ✕ |
| LangChain / LangGraph pipeline setup | ✓ | ✕ | ✕ |
| FastAPI backend integration | ✓ | ✕ | ✕ |
| Full source code delivered | ✓ | ✕ | ✕ |
| Everything included in the Starter Build | ✕ | ✓ | ✕ |
| Custom model creation tailored to your use case | ✕ | ✓ | ✕ |
| Model fine-tuning on your data or domain | ✕ | ✓ | ✕ |
| Full model documentation provided | ✕ | ✓ | ✕ |
| Agentic AI / autonomous agent development | ✕ | ✓ | ✕ |
| Full source code with documented architecture | ✕ | ✓ | ✕ |
| Everything included in the Standard Build | ✕ | ✕ | ✓ |
| Model validation and rigorous testing suite | ✕ | ✕ | ✓ |
| Performance monitoring setup and reporting | ✕ | ✕ | ✓ |
| RAG pipeline with intelligent data retrieval | ✕ | ✕ | ✓ |
| Scalable, modular component-based architecture | ✕ | ✕ | ✓ |
| End-to-end support from development to deployment | ✕ | ✕ | ✓ |
Portfolio
Examples of the seller's work related to this Zinn.

Build AI Agents, RAG Pipelines and GenAI Apps in Python


Build AI Agents, RAG Pipelines and GenAI Apps in Python

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Frequently Asked Questions
Yes, it is strongly recommended. Every GenAI project has unique requirements, and a brief conversation via order chat ensures the correct tier is selected and the scope is clearly understood before work begins. Please share your project outline before purchasing.
A clear description of your project goals, any data or documents to be used, the AI models or tools you have in mind (or leave it to us), and any existing codebase or API credentials you already hold. The more detail you provide, the faster we can begin.
It means we will keep iterating on the delivered work until it meets the agreed scope. Revisions cover adjustments to the existing functionality — they do not extend the scope to new features not discussed at the outset.
The Starter Build suits quick, well-defined tasks such as a simple chatbot, API wrapper or proof-of-concept pipeline. The Standard Build is best when you need a custom or fine-tuned model alongside your application. The Full Build is for production-ready systems that require validation, testing and monitoring before going live.
Yes. Full source code is included with every tier. The code is clean, well-commented and structured for maintainability so your own team can extend it after delivery.
Absolutely. If you have an existing project you would like to extend, or specific API credentials (OpenAI, Groq, etc.) you want used, simply share the relevant details in the order chat and we will integrate seamlessly.
The team works extensively with LangChain, LangGraph, OpenAI GPT models, Groq, Meta LLaMA, Hugging Face Transformers, FastAPI and Python. If you have a specific model or framework in mind, mention it in your brief.
All project details, data and credentials shared via the order are treated with strict confidentiality. No client data or proprietary information is shared with third parties beyond what is required to fulfil the order.
Customer Reviews
See what our customers say about this Zinn
Once again developed fast, thoughtful solution that really fit the brief that we asked for. Highly recommend!
Another great engagement with this freelancer - implemented the models that I wanted in great time and explained everything.
Went above and beyond for a small project I needed done. Made a complete revision of the project upon request. Fulfilled the request earlier than stated. Exceptional communication even before accepting the order. Many other reviews state similar results. Thank you!
He went beyond what I expected and helped me through every step. I'm so glad I chose to work with him and advise you to do the same. Very helpful and will definitely use the service again.
Well done!
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