Hire AI & LLM EngineersWho Ship Features, Not Demos.
Senior engineers who take LLM features from idea to production: retrieval pipelines, evaluation suites, agent workflows, token-cost discipline and the software engineering that keeps it all dependable.
The scarcest hire in your market is on our bench.
Every US SaaS company is adding AI features; very few can hire for them. The engineers on this bench build retrieval-augmented systems, LLM integrations and agents as daily work — grounded in software engineering first, because a model call is the easy 10% and the product around it is the job. Meet Mind AI, our real-time meeting assistant, is this bench eating its own cooking.
What a senior AI hire actually builds.
The production layer most teams discover they need two months after the impressive demo.
Ingestion, hybrid retrieval, re-ranking and citations over your own data — the architecture behind our RAG development service.
Summarization, extraction, copilots and chat — integrated into your existing product with streaming UX and graceful failure.
Golden-question eval sets in CI, measured hallucination rates, refusal behaviour and prompt versioning.
Model routing, caching and context budgets — AI features whose unit economics survive contact with real traffic.
Want the system built for you instead? See generative AI services or the Meet Mind AI case study.
Common questions.
Anything not covered here, ask us directly — we answer within 24 hours.
What makes someone an "AI engineer" on your bench?
A senior software engineer first - five or more years shipping production systems - who has then built LLM features end to end: retrieval, evals, streaming UX and cost control. We do not staff prompt hobbyists.
Which models and stacks do they work with?
Model-agnostic: Claude, GPT, Gemini and open-weights via vLLM, in TypeScript or Python, with pgvector, Pinecone, Qdrant or Weaviate for retrieval - deployed to your cloud, owned by you.
Can they join an existing product team?
Yes - the usual shape is one or two AI engineers embedded in your product squad, shipping the AI roadmap while your team keeps its velocity on everything else.
What does an AI engineer cost through Dexsof?
A flat monthly rate by seniority, agreed before start. Given what US AI-engineering salaries look like, this is usually the largest rate gap of any role we place. Exact numbers in the scoping call.
An AI roadmap and no one to build it? Fixed in two weeks.
Tell us the feature and the data behind it — we will propose engineers who have shipped the same shape of system, with work to show.