AI, LLM & RAG Developer
Senior
Builds AI features into production products — model integration, retrieval pipelines, and the engineering around them. Leads technical delivery on AI builds.
- Python
- OpenAI API
- Claude API
- LangChain
- RAG
Hire LLM Engineer
Hire LLM engineers who get retrieval and inference right
RAG pipelines, vector search, prompt evals, and cost-aware model routing — vetted engineers with production LLM experience.
Browse all developers →The right fit
Your product needs answers grounded in your docs, not hallucinations dressed up as confidence. We place LLM engineers who have shipped RAG in production — chunking strategy, eval sets, fallback models, and billing that scales with usage.
Typical stack
- Claude
- Cursor
- LangChain
- OpenAI API
- Pinecone
- RAG
- Python
- Gemini
Starting rate: $500–$2,400/week
Full pricing details →Models & APIs we integrate
Production routing across model upgrades — billing, fallbacks, and evals included.
- Claude Opus & Sonnet
- GPT-4.x
- Gemini
- Open-source weights (Llama, Mistral)
Vetted and ready this week
Vetted llm engineers ready this week. Every one clears a live vetting process — we introduce them by name once you request an interview.
How hiring a llm engineer works
Matched within about a week of the intro call. An NDA is signed before anyone gets GitHub, Slack, or production access.
-
You share your brief
Form or call. Your stack, headcount, and timeline.
-
We match you — in days, not months
Vetted candidates who fit your stack, introduced within about a week.
-
They work in your codebase
NDA first, then a scoped task in your repo. Output before commitment.
-
Chloe Reynolds onboards you
Chloe Reynolds sets up the first weeks and stays on the account.
Then the follow-up loop
You always know where the project stands and how to escalate. We are not a job board that disappears after placement.
Related client work
Magicshot.ai
85+ AI tools live — with engineers who could keep pace as models changed weekly
Magicshot.ai ships new model integrations weekly. Our LLM engineers kept inference costs predictable while the feature set grew past 50 AI tools.
Read case study →Related roles
Teams hiring a llm engineer often need one of these alongside it. Same vetting standard, same month-to-month terms.
More client work
- The Rig Hut Mobile Responsive Web Application Full-stack team embedded, available around the clock
- Oaklo Social Trust Search Platform Web and mobile live with Social Trust™ scores and AI review summaries
- Websites.ly AI-Powered Website Builder 6,000+ users, multi-page AI generation, custom domains, and a code editor — live and growing
Hire a vetted llm engineer this week
Tell us your stack and timeline. We match within about a week — month-to-month, 30-day trial available.