Senior LangGraph Developer

Dallas, IA - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Role: Senior LangGraph Developer.

Location: Dallas TX OR Charlotte NC (Onsite).

Duration: Long Term Contract.

Reworked Job Summary:

The Senior LangGraph Developer will architect and implement production-grade stateful multi-agent workflows using LangGraph to power intelligent adaptive applications. This elite technical role demands deep expertise in LLM orchestration agentic system design and graph-based computation with strong preference for candidates experienced with Google Agent Development Kit (ADK).

Key Responsibilities:

LangGraph Architecture & Development:

Design and implement complex LangGraph workflows with advanced node logic conditional branching cycles and persistent memory management for stateful agent interactions.
Lead development of multi-agent systems that reason collaborate and adapt dynamically using LLMs for complex decision-making and automation.
Optimize performance and scalability of LangGraph graphs for production workloads implementing caching streaming and efficient state persistence.

Integration & Orchestration:

Integrate LangGraph with external APIs databases vector stores and LLMs (OpenAI Anthropic Google etc.) to create seamless intelligent pipelines.
Build resilient error handling retry logic and fallback mechanisms for production-grade agent reliability.

Technical Leadership:

Mentor junior developers and establish LangGraph best practices patterns and code standards for the organization.
Collaborate with AI researchers data scientists and product teams to translate research concepts into robust production-ready implementations.
Lead code reviews architecture discussions and technical design for agentic systems.

Production Operations:

Implement monitoring logging and observability for LangGraph workflows in production environments.
Use LangGraph Studio and visualization tools for workflow debugging optimization and stakeholder demonstrations.

Required Skills & Experience:

Core Technical Expertise:

8 years software engineering experience including 3-4 years building production LangGraph or agentic frameworks.
Expert Python with advanced async/await patterns graph algorithms and state management.
Deep understanding of LLM orchestration patterns (chain-of-thought tool calling memory agent loops).
Proven experience building stateful multi-agent systems with fault tolerance and human-in-the-loop capabilities.

Framework & Platform Experience:

LangGraph mastery (nodes edges state checkpoints persistence cycles branching).
Strong LangChain experience and familiarity with OpenAI Anthropic Google Vertex AI APIs.
Google Agent Development Kit (ADK) experience strongly preferred.

Production Skills:

Experience with workflow debugging graph visualization LangGraph Studio.
Production deployment experience (Docker Kubernetes serverless cloud platforms).
Expertise in GenAI observability (tracing evaluation monitoring agent performance).

Preferred Qualifications:

Experience building agentic RAG systems combining LangGraph with vector databases and retrieval.
Familiarity with multi-modal agents handling text images structured data.
Track record shipping production GenAI applications at scale.
Contributions to open-source LangChain/LangGraph projects or GenAI community.

Role: Senior LangGraph Developer. Location: Dallas TX OR Charlotte NC (Onsite). Duration: Long Term Contract. Reworked Job Summary: The Senior LangGraph Developer will architect and implement production-grade stateful multi-agent workflows using LangGraph to power intelligent adaptive applicati...