AI & ML
Hire senior LangChain engineers
LangChain went from prototype toy to production framework. Our ML engineers build with it seriously: LangGraph agents with guardrails, RAG pipelines that cite real sources, and evaluation harnesses that catch regressions before users do.
Shortlist of around 3 senior profiles in under 5 business days
- Seniority floor
- 7+ years owning production systems
- Time zone
- Full overlap with US Eastern to Pacific
- Shortlist
- Around 3 curated profiles in under 5 business days
- Engagement model
- Embedded in your team, no resellers or middlemen
- Pricing
- All-inclusive rate, around 35% below the US onshore equivalent
How we vet
What senior LangChain actually looks like
LangGraph for stateful agents instead of spaghetti chains
RAG done properly: chunking, retrieval evaluation, and grounded answers
LangSmith or Langfuse observability wired into every deployment
Evaluation suites with Ragas or DeepEval before anything ships
LangChain questions, answered
Is LangChain production-ready?
With seniors, yes: LangGraph for control flow, proper evaluation, and observability. Without them, it produces demos that fall over in week two.
Can they build our internal RAG assistant?
Yes. RAG over company knowledge with source citation and access control is one of the most requested builds right now.
LangChain, LlamaIndex, or raw API calls?
Seniors pick per use case. Many production systems end up as direct API calls plus a thin orchestration layer, and we will say when that is the right answer.
Usually paired with LangChain
Keep reading about hiring for LangChain
Need senior LangChain on your team?
Tell us the context. A curated shortlist of senior profiles in under five business days, working in your time zone.