You will get a production-ready LLM agent MVP with RAG, tools, and memory
Rising Talent
Rising Talent
Project details
This project delivers a fully functional AI agent powered by large language models, with retrieval augmented generation (RAG), custom tool use, and conversation memory.
What you get:
An LLM agent tailored to your specific use case, whether it's automating internal workflows, answering questions over your documents, or interacting with your APIs.
Tech I use: LangChain, DSPy, LangGraph, OpenAI API, Claude API, Pinecone/Weaviate/ChromaDB, Python, Docker. And more.
Why me:
9+ years in ML engineering. I've built production LLM agents for security auditing, and shipped real-time AI systems on mobile. I read the papers and ship the code.
Ideal for: startups and teams that need a working AI agent fast, with clean code they can maintain and extend.
What you get:
An LLM agent tailored to your specific use case, whether it's automating internal workflows, answering questions over your documents, or interacting with your APIs.
Tech I use: LangChain, DSPy, LangGraph, OpenAI API, Claude API, Pinecone/Weaviate/ChromaDB, Python, Docker. And more.
Why me:
9+ years in ML engineering. I've built production LLM agents for security auditing, and shipped real-time AI systems on mobile. I read the papers and ship the code.
Ideal for: startups and teams that need a working AI agent fast, with clean code they can maintain and extend.
AI Development Type
Deep Learning, Knowledge Representation, Recommendation SystemAI Tools
MLflow, Sonnet, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$1,500
|
Standard
$3,500
|
Advanced
$7,000
|
|---|---|---|---|
| Delivery Time | 5 days | 14 days | 28 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | - | - |
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | - | - | - |
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$500 - $2,000Frequently asked questions
About Maxence
Senior AI/ML Engineer | LLM, RAG, Agents
Paris, France - 6:55 pm local time
9+ years turning complex ML research into shipped products. Real systems running in production.
Steps for completing your project
After purchasing the project, send requirements so Maxence can start the project.
Delivery time starts when Maxence receives requirements from you.
Maxence works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery Call
We define the use case, data sources, and success criteria.
Architecture and prototype
I design the agent architecture, set up RAG pipeline, and deliver a working prototype.