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Sr.Dev LangGraph & Agentic AI

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: VDart, Inc.
Seasonal/Temporary position
Listed on 2025-12-30
Job specializations:
  • Software Development
    AI Engineer, Software Engineer
Job Description & How to Apply Below
Position: Sr.Dev with LangGraph & Agentic AI

Job Title :
Sr.Dev with Lang Graph & Agentic AI

Location Dallas TX / Charrolte NC

Job Type :
Contract

Job Summary:

We are looking for a highly experienced and technically elite Senior Lang Graph Developer to architect and implement cutting-edge agentic workflows using Lang Graph. 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 Lang Graph architectures that power intelligent applications across domains.

Key Responsibilities:
  • Design and implement advanced Lang Graph 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 Lang Graph graphs in production environments.
  • Integrate Lang Graph with external APIs, databases, and LLMs to create seamless, intelligent pipelines.
  • Mentor junior developers and establish best practices for Lang Graph development.
  • Collaborate with AI researchers and product teams to translate abstract ideas into robust Lang Graph implementations
Required

Skills & Experience:
  • 8 years in software engineering , with at least 3-4 years in Lang Graph 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 Lang Chain, OpenAI, Anthropic, or similar LLM platforms
    .
  • Strong grasp of workflow debugging, graph visualization, and Lang Graph Studio
    .
  • Proven ability to build production-grade agentic systems with high reliability and fault tolerance.
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