Sr LangGraph + AgenticAI Developer

Location: Dallas, TX Salary: $70.00 USD Hourly - $75.00 USD Hourly Description:
Real Title: Sr LangGraph + Agentic AI Developer

Duration: Longterm Open Ended Contract

Location

• Primary: Dallas, TX 75201
• Secondary: Charlotte, NC
• Hybrid mode: 3 days/week onsite

Evaluation Procedure

• Round 1: Video interview (30 minutes) - Candidate potential check
• Round 2: In-person (Dallas/Charlotte) - Theoretical + coding challenge (no AI assistance; includes tool calling and intent routing)

Job Summary

Seeking a highly experienced Senior LangGraph Developer to architect and implement agentic workflows using LangGraph. The role requires expertise in building stateful, multi-agent systems leveraging LLMs for decision-making, orchestration, and automation. Responsibilities include designing resilient, scalable LangGraph architectures powering intelligent applications across 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 LLMs
• Mentor junior developers and establish best practices
• Collaborate with AI researchers and product teams to translate abstract ideas into robust implementations
• Design, create, and deploy Agentic AI models at production level

Required Experience & Expertise

• 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 Agentic AI models
• Familiarity with evaluation metrics (RAG, batch processing, Agentic AI)

Nice-to-Have Skills

• Working knowledge of MCP servers
• Experience with Google ADK

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