HireAI & LLM
developers on demand
Vetted AI and LLM engineers who ship production RAG, agents, and fine-tuned models, dedicated to your team in under 5 days, for as long as you need them.
for teams like
Do you need one?
Is your AI roadmap stuck at the demo stage?
If any of these sound familiar, a dedicated AI & LLM engineer pays for themselves fast. Open the ones that sting.
A dedicated AI engineer builds for real traffic, streaming, retries, rate limits, and cost caps, so what impressed the board actually holds up with users.
They build eval sets, grounding, and retrieval you can trust, plus tracing on every call, so accuracy is measured and improved, not guessed at.
Caching, smaller routed models, and right-sized context cut spend hard, often by more than half, without users noticing a drop in quality.
Bring in someone who has shipped LLM systems before. They set the patterns and level up your team instead of burning months on trial and error.
Hiring an AI engineer takes 3–4 months in a hot market. We match you with a vetted one in under 5 days, already tested, ready to commit code in week one.
Expertise
One role, four fronts they cover.
Every Foresynth AI & LLM engineer is tested across all four before they ever meet a client.
Multi-step agents, tool and function calling, structured outputs, and streaming UIs, wired to your product with retries, guardrails, and fallbacks. They pick the orchestration your use case needs, not the framework that's trending.
Chunking, embeddings, hybrid search, and reranking that actually surface the right context, grounded answers with citations, so the model stops making things up about your data.
Dataset curation, LoRA and full fine-tunes, and distillation to smaller, cheaper models, done when it beats prompting, not because it sounds impressive.
Eval suites on real prompts, tracing and observability on every call, red-teaming, and CI that blocks quality regressions, so every model change is measured before it ships.
Pricing
Simple monthly rates. No recruiter fees.
One invoice, month to month. Scale up, down, or pause as your roadmap changes.
Mid-level
3–5 yrs · ships LLM features on an established stack
$3,200/mo
full-time · ~$20/hr equivalent
Senior
6–9 yrs · owns an AI system end to end
$5,200/mo
full-time · ~$32/hr equivalent
Lead / Architect
10+ yrs · greenfield AI & technical direction
$7,400/mo
full-time · ~$46/hr equivalent
part-time from 50% of the rate · 1-month minimum · cancel monthly
How it works
From brief to first commit in a week.
Share your brief
Stack, seniority, timeline. Five minutes on a call or in writing.
Meet your match
A vetted AI & LLM engineer, usually within 5 days. Interview them yourself.
15-day trial
They work on your real backlog. Not convinced? You don't pay.
Scale as needed
Keep them, add teammates, or wind down, month to month.
Risk-free trial
First 15 days on us if it’s not a fit.
Your developer works on real tickets from day one. If you’re not happy inside the first 15 days, you pay nothing and we part as friends, or match you with someone else.
FAQ
Hiring AI & LLM engineers, answered.
Most start within 3–5 days. We shortlist from pre-vetted engineers, you interview, and they join your tools and standups the same week.
A live build, ship a small RAG or agent feature, plus a review of evals, retrieval quality, and cost awareness before we shortlist anyone.
OpenAI, Anthropic, and open-weight models (Llama, Mistral), with LangChain, LlamaIndex, vector DBs, and vLLM. They fit your stack, not the other way around.
Yes, a two-week paid trial. If it is not a fit you owe nothing beyond the trial, and we replace the engineer.
You do, from day one. Code and fine-tuned weights live in your repos and accounts, full IP assignment, no lock-in.
LLM seats.
Filled fast.
Send the JD. Vetted LLM and ML CVs in 48 hours, trials the same week, on your sprint next.