Hire LangChain developers
Senior LangChain developers who build agent pipelines, RAG systems and multi-step LLM workflows, and who drop the framework when it adds friction. Their assessment checks that they know when LangChain is the wrong tool.
01
Orchestration frameworks grew faster than documentation
LangChain and LangGraph added abstractions quicker than most teams could evaluate them, so engineers who adopted everything are now carrying unnecessary complexity. The ones worth hiring know which primitives to reach for and which to route around.
02
Agents made state management a first-class concern
LangGraph turned graph-based agent design from a pattern into an explicit programming model. Engineers now need to treat state transitions, interrupt handling and checkpoint persistence as core skills.
03
Prompt engineering moved into the codebase
Chains and runnables put prompt logic alongside application code, so engineers are expected to version, test and debug prompt behaviour the same way they handle any other module. Code review in this stack now covers prompts as well as code.
How we assess LangChain developers
Every engineer works through a fundamentals assessment with AI tools switched off and a second assessment with their own agents running. For LangChain developers, these criteria carry the most weight.
- Tool orchestration
Engineers wire real tools into a LangGraph or LCEL chain during the assessment and explain every routing decision, including where they would drop the framework entirely.
- AI output verification
Engineers must validate LLM outputs structurally and semantically within a chain, catching hallucinations and schema drift before they propagate downstream.
- Debugging
Engineers trace a failing chain back through callbacks, intermediate steps and LLM responses to find the exact point of failure without relying on surface-level error messages.
Hiring with Miyagami
- One senior engineer, full-time, at a fixed monthly fee
- Employment, payroll and compliance included, no recruitment fee
Timeline
- Three-month minimum
- Wrong fit: we replace at our cost
What is RAG
RAG connects a language model to an external knowledge source at inference time, so answers draw on retrieved documents rather than training data alone.
What is an eval
An eval is a test that measures how well a language model or AI system performs on a defined task. Teams use evals to check whether a change makes the system better or worse.
What is an AI gateway
An AI gateway is a proxy layer that sits between your application and one or more model APIs, handling routing, auth, rate limits, logging and cost controls.
Questions about hiring LangChain developers
How senior are these engineers?
The LangChain developers we put forward are senior, with 6+ years' experience on average, and they've shipped and maintained production systems in LangChain. Every one has passed both assessments, and you see both scorecards before you meet them.
How do you test LangChain skills specifically?
Assessment 1 covers fundamentals in a real codebase with AI tools off. Assessment 2 puts them inside a LangChain or LangGraph project with their own agents on. The assessors score how they structure chains, manage state and verify outputs, as well as whether the code runs.
How quickly can one start?
You get a shortlist in five working days, and the first commit lands three weeks after that. Those three weeks cover introductions and your own interviews.
What does a LangChain developer cost?
You pay a fixed monthly fee of €5,600 to €8,000 per full-time engineer, with employment, payroll and compliance included and no recruitment fee. The pricing page compares it with the all-in cost of a senior local hire in your country. Engagements are full-time with a three-month minimum, and if a placement doesn't work out, we replace them at our cost.
Do they work in our tools or theirs?
A full-time LangChain developer costs €5,600 to €8,000 a month. There's no recruitment fee and nothing upfront, and the minimum term is three months. If the fit is wrong, we replace at our cost.
Get a shortlist within five working days
You share the roles and the stack in a short form or a thirty-minute call. Within five working days you get named senior engineers to review, each with both scorecards.
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