Sr LangGraph Developer

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).

• 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).