Hire LangGraph Developer

State management across interactions and long-running workflows

Conditional routing based on model outputs, user inputs, and business rules

Controlled tool access for APIs, databases, search tools, and business applications

Human approval steps for sensitive actions and important decisions

Checkpointing, recovery patterns, and error handling for interrupted workflows

Stateful AI assistants:

Maintain context across conversations and multiple workflow steps.

Multi-agent coordination workflows:

Connect specialised agents to exchange results, delegate tasks, and complete work.

Human-in-the-loop applications:

Pause workflows for review, approval, or corrections before continuing.

AI research and review pipelines:

Search for information, organise findings, validate results, and route incomplete results for further processing.

Long-running business processes:

Preserve progress and resume tasks such as document review, case handling, and multi-step analysis.

LangGraph architecture:

Nodes, edges, conditional routing, state schemas, and graph execution.

State and checkpoint management:

Saving progress and resuming interrupted tasks.

LLM and tool integration:

Connecting models with APIs, retrieval systems, structured outputs, and external tools.

Error handling and testing:

Testing branches, validating model outputs, managing failed operations, and preventing repeated loops.

Production engineering:

Authentication, logging, tracing, monitoring, deployment, and performance.

Understand the application:

Define the use case, workflow stages, state requirements, model choices, integrations, and recovery needs.

Identify suitable candidates:

Find developers with relevant LangGraph, LLM integration, programming, and backend experience.

Review technical experience:

Evaluate graph structures, conditional routing, state management, checkpointing, and tool calls.

Conduct a practical assessment:

Explore how candidates design workflows, handle failed steps, manage state changes, and test execution paths.

Evaluate collaboration and fit:

Assess communication, problem-solving, and technical judgement.

Begin implementation:

Integrate required systems, test workflow paths, and improve the application based on results.

Banking and financial services:

Document review, internal research assistants, and information retrieval with approval steps.

Healthcare:

Approved information retrieval, administrative case workflows, and document processing with appropriate oversight.

Legal and professional services:

Document search, detail extraction, and workflows that route findings for professional review.

E-commerce and retail:

Product information retrieval, order support, and customer request routing.

Software and technology:

Coding assistants, documentation workflows, issue investigation, and multi-agent applications.

Manufacturing and logistics:

Operational report processing, equipment information retrieval, shipment updates, and exception routing.