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

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ericmac03
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ericmac03
Eric M

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

Eric M

Fractional CTO and AI Agent Engineer

  • FromCanada
  • Member sinceAug 2020
  • Avg. response time16 hours
  • Languages

    English
Fractional CTO and hands-on AI engineer, building software since 1997 (29 years). I take AI agents, RAG systems and LLM integrations from demo to production in TypeScript/Node and Python, plus 8 years of Go, and every delivery comes with tests or evals you can rerun. Receipts: a multi-provider LLM gateway in production across 5 products; an open-weight model pipeline for a data-labelling platform with 500K+ users; real-time esports infrastructure with EA at ~600 events/s. VP Engineering or CTO at six startups. Langford, BC, Canada, Pacific time.