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# Sr LangGraph Developer

- **Company:** TechDigital Corporation
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Batch Processing, Databases, Software Debugging, Memory Management, Fault Tolerance, Python (Programming Language), OpenAI, Software Engineering, Design of Telemetry/logging Agents, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Agentic-AI, Asynchronous Programming, Web Api
- **Published:** October 18, 2026
- **Apply:** https://www.careerbuilder.com/job-details/sr-langgraph-developer-dallas-tx--1bbe6634-e422-4006-bbbe-0e01b7050f40

## About the Role

* 10+ years in software engineering , with at least 2+ 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.
 * Experience with LangChain, OpenAI, Anthropic, or similar LLM platforms .
 * Strong grasp of workflow debugging, graph visualization, and LangGraph Studio .
 * Proven ability to build production-grade agentic systems with high reliability and fault tolerance.
 * Proficient with AgenticAI models.
 * Vetted with Evaluation metrics(RAG, Batch processing, AgenticAI).

## Description

Job Summary: We are looking for a highly experienced and technically elite Senior LangGraph Developer to architect and implement cutting-edge agentic workflows using LangGraph. This role demands deep expertise in building stateful, multi-agent systems that leverage LLMs for complex decision-making, orchestration, and automation. You will be responsible for designing resilient, scalable LangGraph architectures that power intelligent applications across domains. Locations: Dallas(Primary), Charlotte(Secondary) - Hybrid mode(work from office 3 days a week) Key Responsibilities: * Design and implement advanced LangGraph workflows with complex node logic, branching, and memory management. * Lead the 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 LLMs 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 ideas into robust LangGraph implementations. * Design , create and deploy AgenticAI models at production level. Required Skills & Experience: * 10+ years in software engineering , with at least 2+ 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. * Experience with LangChain, OpenAI, Anthropic, or similar LLM platforms . * Strong grasp of workflow debugging, graph visualization, and LangGraph Studio . * Proven ability to build production-grade agentic systems with high reliability and fault tolerance. * Proficient with AgenticAI models. * Vetted with Evaluation metrics(RAG, Batch processing, AgenticAI).
Job Summary: We are looking for a highly experienced and technically elite Senior LangGraph Developer to architect and implement cutting-edge agentic workflows using LangGraph. This role demands deep expertise in building stateful, multi-agent systems that leverage LLMs for complex decision-making, orchestration, and automation. You will be responsible for designing resilient, scalable LangGraph architectures that power intelligent applications across domains. Locations: Dallas(Primary), Charlotte(Secondary) - Hybrid mode(work from office 3 days a week) Key Responsibilities: * Design and implement advanced LangGraph workflows with complex node logic, branching, and memory management. * Lead the 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 LLMs 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 ideas into robust LangGraph implementations. * Design , create and deploy AgenticAI models at production level. Required Skills & Experience: * 10+ years in software engineering , with at least 2+ 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. * Experience with LangChain, OpenAI, Anthropic, or similar LLM platforms . * Strong grasp of workflow debugging, graph visualization, and LangGraph Studio . * Proven ability to build production-grade agentic systems with high reliability and fault tolerance. * Proficient with AgenticAI models. * Vetted with Evaluation metrics(RAG, Batch processing, AgenticAI).