{"schemaVersion":"jobsearcher.job.v1","id":"4ceb5a4098be2c05a22357f2","url":"https://jobsearcher.com/jobs/4ceb5a4098be2c05a22357f2","canonicalUrl":"https://jobsearcher.com/jobs/4ceb5a4098be2c05a22357f2","title":"Sr LangGraph + AgenticAI Developer","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. Nice to have skills: Working knowledge with MCP servers, Google ADK 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. Experience: 10 to 15 Yrs Client is looking for - Hands on GenAI + LangGraph candidate assuming should be very good with GenAI Fundamentals, Prompt Engineering, LLM, Agentic AI, Agentic System Design, LangChain, LangGraph, Monitoring , CI/CD process. Coding expertise with using AI agent is very essential 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).","company":"TechDigital","rawCompany":"techdigital","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-07-09T04:40:16.546Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr LangGraph + AgenticAI Developer","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. Nice to have skills: Working knowledge with MCP servers, Google ADK 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. Experience: 10 to 15 Yrs Client is looking for - Hands on GenAI + LangGraph candidate assuming should be very good with GenAI Fundamentals, Prompt Engineering, LLM, Agentic AI, Agentic System Design, LangChain, LangGraph, Monitoring , CI/CD process. Coding expertise with using AI agent is very essential 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).","datePosted":"2026-07-09T04:40:16.546Z","dateModified":"2026-07-09T04:40:16.546Z","hiringOrganization":{"@type":"Organization","name":"TechDigital","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4ceb5a4098be2c05a22357f2"},"url":"https://jobsearcher.com/jobs/4ceb5a4098be2c05a22357f2"}}