RAG architecture & retrieval tuning
Document ingestion, chunking strategy, embedding model selection, vector store (pgvector, Pinecone, Qdrant), reranking, and citation tracking.
Hire a LangChain Developer for Production AI Systems
Hiring a LangChain developer who actually understands how RAG behaves in production is rare. I build LangChain and LangGraph systems that handle real document corpora, real users, and real cost ceilings — not weekend demos.
Pricing from ₹60,000 • Remote • NDA-friendly • Reply within 24h
Who this is for
- Founders building an AI product (chatbot, search, copilots) who need it to ship in weeks, not quarters.
- Engineering teams that need a senior LangChain specialist to architect retrieval, evaluation, and agent loops.
- Companies migrating from OpenAI direct calls to a structured LangChain/LangGraph pipeline.
What I deliver
LangGraph agent design
Multi-step agent workflows with proper state management, tool calling, retries, fallback chains, and human-in-the-loop checkpoints.
Evaluation & cost control
Eval harnesses (Ragas, custom), token-cost dashboards, caching layers, and model routing (Haiku/Sonnet/Opus or GPT-mini/full) to keep unit economics sane.
Production deployment
FastAPI/Next.js wrappers, streaming, observability (LangSmith or self-hosted traces), and Docker/AWS deployment.
Tech stack
LangChainLangGraphOpenAIAnthropic ClaudeOllamapgvectorPineconeQdrantFastAPINext.jsTypeScriptPythonLangSmithDockerAWS
How we'll work together
01
Discovery
Define the use case, success metric, and data sources. 30-min call, free.
02
Architecture
Document the retrieval strategy, eval plan, and infra cost model before any code.
03
Build
Iterate in weekly sprints — each ends with a runnable demo and eval scores.
04
Ship
Deploy to your infra, set up monitoring, and hand over with full documentation.
FAQ
How much does it cost to hire a LangChain developer?
For a focused RAG MVP I typically quote ₹60,000–₹2,00,000 fixed price. Long-term LangGraph agent systems are scoped per project. Hourly engagements start at ₹2,500/hr.
How long does a production RAG system take?
A solid first version — ingestion, retrieval, citations, basic eval — ships in 2–3 weeks. Adding agent loops, fine-tuning, or multi-tenant isolation adds 2–4 weeks.
Can you deploy on our private infra?
Yes. I support self-hosted Ollama / vLLM, on-prem vector stores (pgvector, Qdrant), and air-gapped deployments for regulated industries.
Do you handle evaluation, or just build?
Both. Every RAG/agent system I ship includes an eval harness — without it you can't know if a prompt change made things better or worse.
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Ready to start?
Tell me about your project. I'll send a scoped proposal within 24 hours.
Get in touch →