Senior LangGraph Developer

Compunnel, Inc.; Dallas (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading tech company based in Dallas is seeking a highly experienced Senior LangGraph Developer. The ideal candidate will architect advanced workflows using LangGraph, requiring deep expertise in stateful multi-agent systems and LLMs for complex decision-making. Responsibilities include designing robust LangGraph architectures and mentoring junior developers. Candidates must possess over 8 years of experience in software engineering with proficiency in Python and relevant agentic frameworks. This role offers an opportunity to impact intelligent applications across various domains.

Qualifications

• 8+ years of experience in software engineering, with at least 3–4 years in LangGraph or agentic frameworks.
• Expert-level proficiency in Python and asynchronous programming.
• Deep understanding of LLM orchestration, memory management, and stateful agent design.

Responsibilities

• Design and implement advanced LangGraph workflows with complex node logic.
• Lead development of agentic systems that interact and adapt dynamically.
• Optimize performance and scalability of LangGraph graphs.

Skills

Python

Asynchronous programming

Stateful agent design

LangGraph architecture

Graph visualization

Tools

LangChain

OpenAI

Anthropic

Job description

We are seeking a highly experienced Senior LangGraph Developer to architect and implement advanced agentic workflows using LangGraph.

This role requires deep expertise in building stateful, multi-agent systems that leverage LLMs for complex decision-making, orchestration, and automation.

The ideal candidate will design resilient, scalable LangGraph architectures powering intelligent applications across diverse domains.

Key Responsibilities

• Design and implement advanced LangGraph workflows with complex node logic, branching, and memory management.
• Lead development of agentic systems that interact, reason, and adapt dynamically.
• Optimize performance and scalability of LangGraph graphs in production environments.
• Integrate LangGraph with external APIs, databases, and LLM platforms to create seamless intelligent pipelines.
• Mentor junior developers and establish best practices for LangGraph development.
• Collaborate with AI researchers and product teams to translate abstract concepts into robust LangGraph implementations.

Required Qualifications

• 8+ years of experience in software engineering, with at least 3–4 years in LangGraph or agentic frameworks.
• Expert-level proficiency in Python, asynchronous programming, and graph-based computation.
• Deep understanding of LLM orchestration, memory management, and stateful agent design.
• Hands-on experience with LangChain, OpenAI, Anthropic, or similar LLM platforms.
• Strong knowledge of workflow debugging, graph visualization, and LangGraph Studio.
• Proven ability to build production-grade agentic systems with high reliability and fault tolerance.