LangChain Development
Hire LangChain Developers — Build Production AI Chains and Agents
Kovil AI's LangChain developers have shipped 150+ AI systems. LCEL chains, LangGraph agents, RAG pipelines, and LangSmith observability — production-ready from day one.
What Our LangChain Developers Build
LCEL chains and pipelines — streaming-first, async-capable, production-safe
LangGraph agents — stateful, multi-step, with human-in-the-loop support
RAG systems with LangChain retrieval — hybrid search, re-ranking, evaluation
Tool-using agents that call APIs, query databases, and execute code
LangSmith observability — tracing, evaluation, and prompt management
Tech Stack
How It Works
Tell Us Your Use Case
Describe what you need to build. We scope the right LangChain architecture for your use case.
Matched in 48 Hours
A senior LangChain developer is matched and starts with a 2-week trial. Full replacement guarantee.
Ship in Production
Milestone-gated delivery. First milestone in 14 days. LangSmith observability built in.
Legal / LegalTech
LangChain Multi-Agent Contract Review — 94% Clause Automation
94% Automated
$380K Partner Hours Reclaimed
Frequently Asked Questions
What is LangChain used for?
LangChain is a framework for building LLM-powered applications. It provides abstractions for chains, agents, memory, tool use, and retrieval. Most production RAG pipelines, AI agents, and LLM applications use LangChain or its graph-based extension, LangGraph.
What is LangGraph and when should I use it?
LangGraph is LangChain's stateful graph framework for building AI agents. It's ideal for multi-step workflows, agents that loop and retry, human-in-the-loop systems, and any system where you need explicit state management. Use LangGraph when your agent needs to do more than a single chain.
Do you use LangSmith for observability?
Yes. LangSmith traces every chain and agent run — you can see exactly what prompts were sent, what was retrieved, token counts, latency, and costs. We use it for debugging during development and ongoing monitoring in production.
What is LCEL and why does it matter?
LCEL (LangChain Expression Language) is the composable, streaming-first way to build chains in modern LangChain. It enables streaming output, async execution, and parallelism. All our LangChain work uses LCEL — not the legacy Chain classes.
Can you build a RAG system with LangChain?
Yes. LangChain + LlamaIndex (for indexing) or LangChain's own retrieval modules are the standard way to build RAG. We've built RAG systems on Pinecone, Weaviate, pgvector, and Chroma using LangChain.
Can I hire a LangChain developer to join my team?
Yes. Kovil AI staff augmentation places a vetted LangChain developer into your team with a 2-week trial. 98% of clients extend past the trial. Matched in 48 hours.
Start Your 2-Week Risk-Free Trial
Fixed price. Milestone-gated. Zero delivery risk. Zero termination fees.
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