Hire senior LangChain and LangGraph developers
Senior engineers who build agents and LLM pipelines with LangChain 1.x and LangGraph, and who know when a framework helps and when it gets in the way.
By the Ryz Labs team · Updated October 2026
Hiring LangChain developers through Ryz gets you senior Latin American engineers who build production agents and retrieval pipelines with LangChain and LangGraph, with tracing and evals from day one. They are the top 1% of the engineers we interview, and they work on your team and in your repos within an hour of US time zones.
What our LangChain developers work on
LangChain and LangGraph reached 1.0 in October 2025. LangChain's create_agent, with its middleware system, became the standard way to build an agent, and LangGraph became the runtime for durable, stateful workflows. Many codebases still carry older chains and deprecated patterns. Our developers build new systems on the current APIs and clean up old ones. Typical projects:
- Stateful LangGraph workflows with checkpointing, human-in-the-loop interrupts and resumable runs for approvals and long-running tasks.
- Agents built with create_agent and middleware for PII redaction, summarization of long histories, model fallbacks and tool-call limits.
- Retrieval pipelines using LangChain document loaders, text splitters and vector store integrations for pgvector, Pinecone, Weaviate or Elasticsearch.
- Upgrading LangChain 0.x code: replacing legacy chains and create_react_agent, untangling LCEL pipelines and pinning provider packages.
- LangSmith tracing, datasets and evaluations wired into CI, or OpenTelemetry export to your existing observability stack.
- Deploying graphs as services with LangGraph Platform or a FastAPI app you run yourself.
Skills we vet for
- LangGraph state design. Typed state, reducers, conditional edges, subgraphs and keeping state small enough to checkpoint cheaply.
- Persistence and interrupts. Checkpointers backed by Postgres or Redis, thread IDs, time travel for debugging and resuming after a human approves.
- Agents and middleware. create_agent, structured output, writing custom middleware and knowing which concerns belong there versus in tools.
- Provider integrations. langchain-anthropic, langchain-openai and other partner packages, standard content blocks and swapping models safely.
- Retrieval. Loaders, splitters, retrievers, hybrid search and rerankers, measured against labeled queries.
- Observability and evals. LangSmith traces, datasets, online and offline evaluators and regression checks on every change.
- MCP tools. Loading tools from MCP servers with the LangChain MCP adapters.
- Framework judgment. When direct SDK calls are simpler than an abstraction, and how to keep the framework from hiding failures.
How we vet LangChain developers
Recruiters source engineers who have run LangChain or LangGraph systems in production, then our in-house ARC system ranks the pipeline. Structured NTRVSTA AI interviews test graph design, debugging from traces and framework judgment. Recruiters review each candidate before and after the interview and put together a curated shortlist. AI scores are advisory; people decide.
Sample interview topics
- Design a LangGraph workflow for refund approvals where a manager must approve amounts over a threshold, possibly days later. How do you persist and resume it?
- A LangSmith trace shows the agent calling the same search tool eight times in a loop. What do you look at, and what do you change?
- You inherit a LangChain 0.1 codebase built on deprecated chains. How do you plan the upgrade without breaking production?
- When would you drop LangChain and call the model SDK directly? Give a concrete example.
- How do you write an evaluator for a multi-step agent where several different paths can reach the right answer?
Ways to hire LangChain developers
| Option | Best for | Trade-offs |
|---|
| Freelance marketplace | A tutorial-sized prototype | LangChain is easy to demo and hard to run in production. Many profiles stop at the demo. |
| Staffing or recruiting agency | Resume sourcing for an AI engineer role | Keyword matches on "LangChain" say little about LangGraph state design or eval discipline. |
| In-house recruiting | A long-term AI application team | Slow cycles while the framework keeps changing underneath you. |
| Ryz Labs staff augmentation | Adding LangGraph depth to a team already building AI features | You direct the roadmap and review code. Best when the use case is clear. |
| Ryz Labs AI pod team | Building an agent system end to end inside your cloud | A dedicated pod with a tech lead, ML and backend engineers and weekly demos. Larger scope. |
Ryz is not the right choice if you want a self-serve marketplace for hourly work, or an off-the-shelf agent product. Teams that need coverage in Europe or Asia should consider global networks.
Why hire LangChain developers from Latin America
Debugging an agent means reading traces together, arguing about what the right behavior was and changing a prompt, a tool or an edge in the graph. That loop is much faster when the person reading the trace is online at the same time as the product owner who flagged the bad run.
Senior Python and TypeScript engineers are plentiful across Latin America, and many have spent years on US backend teams. LangGraph rewards exactly that background: state machines, persistence, retries and clean interfaces. They work in English and write clear design notes.
Related roles
FAQ
Should we use LangChain at all?
Sometimes not. For a single model call with a tool or two, the provider SDK is often simpler. LangGraph earns its place when you need durable state, human approvals or complex control flow. Our developers will tell you which applies.
Do your developers work in Python or TypeScript?
Both. LangChain and LangGraph have Python and JavaScript versions, and we match engineers to the language your team already uses.
How is pricing set?
Custom quote, scoped per team. Before you sign, you get a plan, a price and the names of the people who would do the work.
What hours do they work?
They work within an hour of US time zones, so they join your standups and reviews live. Ryz engineers work on your team, reporting to your leads. Talk to us to scope your team.
Questions we didn't answer? Email info@ryzlabs.com.