I will build a reliable ai agent, llm integration or rag system


About this gig
I take AI features from demo to production in TypeScript/Node or Python: an LLM integration, a RAG system over your documents, or an agent that calls your tools reliably. Every order comes with checks that tell you it works.
Receipts: I built a multi-provider LLM gateway, wire-compatible with OpenAI, Anthropic and Gemini, that runs in production across 5 products. I've shipped RAG over internal data to production, and on one platform raised retrieval on a fixed 12-question benchmark from 1/12 to 8/12 answered. I ran an open-weight model pipeline for a data-labelling platform with 500K+ users.
How it works: every order starts with a short written spec and acceptance tests we agree on. I build against them and deliver the code, a short write-up and an eval set with a control that must fail, so you can rerun the check instead of taking it on trust.
Good fits: a chatbot or RAG system that gives wrong answers, an agent that needs to call your tools reliably, or a move to a cheaper model without losing quality. Message me a few lines on what you're building before you order.
Get to know Eric M
Fractional CTO and AI Agent Engineer
- FromCanada
- Member sinceAug 2020
- Avg. response time16 hours
Languages
English
FAQ
Which models and providers do you work with?
OpenAI, Anthropic (Claude) and Gemini APIs, plus open-weight models served with Hugging Face Transformers and TGI. I recommend the one that fits your cost, latency and data constraints.
What do I get at the end?
The code in your repo, a short write-up of what was built and why, and an eval set with a control that must fail, so you can rerun the check yourself after I'm gone.
Can you fix a chatbot or RAG system I already have?
Yes. I first measure what it gets wrong on a fixed question set, then fix retrieval, prompts or tools and re-measure against the same set, so you see the before and after.
Do you work in my stack?
TypeScript/Node and Python first, plus Go, which I've used for 8 years. I work in your repo and follow your conventions and CI.
