{"schemaVersion":"jobsearcher.job.v1","id":"f2fcd05afd8bad92bb47db50","url":"https://jobsearcher.com/jobs/f2fcd05afd8bad92bb47db50","canonicalUrl":"https://jobsearcher.com/jobs/f2fcd05afd8bad92bb47db50","title":"Agentic AI Developer","description":"Senior LangGraph & Agentic AI DeveloperLocation: Dallas, TX (Primary) / Charlotte, NC (Secondary) – Hybrid (3 Days Onsite)Interview ProcessRound 1 (Video – 30 Minutes): Initial technical screening to evaluate candidate suitability.Round 2 (In-Person – Dallas or Charlotte): Advanced technical discussion with coding assessment (AI assistance is not permitted). The assessment will include pseudocode, tool-calling, intent routing, and Agentic AI concepts.Final Client Round (In-Person – Dallas or Charlotte): Deep technical interview with hands-on coding evaluation.Position OverviewWe are seeking a highly experienced Senior LangGraph & Agentic AI Developer to design, build, and deploy enterprise-grade AI agent systems. The ideal candidate will possess deep expertise in Generative AI, LangGraph, LangChain, Large Language Models (LLMs), Prompt Engineering, and Agentic AI architectures, with proven experience delivering scalable production-ready AI solutions.This is a hands-on engineering role requiring exceptional Python programming skills and the ability to architect intelligent multi-agent workflows capable of reasoning, planning, tool calling, and autonomous decision-making.Key ResponsibilitiesDesign and develop advanced LangGraph workflows featuring complex node logic, branching, memory management, and stateful execution.Build and deploy scalable Agentic AI systems capable of reasoning, planning, and dynamic decision-making.Architect production-grade multi-agent applications using LangGraph and LangChain.Integrate LLMs with APIs, databases, vector stores, and external enterprise systems.Optimize performance, scalability, observability, and fault tolerance of AI workflows in production.Implement monitoring, logging, evaluation, and CI/CD pipelines for AI applications.Collaborate with AI researchers, architects, and product teams to translate business requirements into intelligent AI solutions.Mentor development teams and establish best practices for Agentic AI development.Design, build, and deploy enterprise-ready Agentic AI models across business use cases.Required Skills & Qualifications10+ years of software engineering experience.Minimum 2+ years of hands-on experience with LangGraph or similar Agentic AI frameworks.Strong expertise in:Generative AI fundamentalsPrompt EngineeringLarge Language Models (LLMs)Agentic AIAgentic System DesignLangChainLangGraphAI Monitoring & ObservabilityCI/CD for AI applicationsExpert-level proficiency in Python, asynchronous programming, and graph-based computation.Deep understanding of:LLM orchestrationMemory managementStateful agent architectureMulti-agent systemsTool callingIntent routingHands-on experience with OpenAI, Anthropic, or similar enterprise LLM platforms.Experience debugging LangGraph workflows using LangGraph Studio.Proven track record of building reliable, fault-tolerant, production-scale Agentic AI solutions.Experience implementing AI evaluation frameworks, including:Retrieval-Augmented Generation (RAG)Batch ProcessingAgentic AI Evaluation MetricsNice-to-Have SkillsExperience with Model Context Protocol (MCP) ServersGoogle Agent Development Kit (Google ADK)Knowledge of enterprise AI governance, security, and responsible AI practices","company":"Reqroute","rawCompany":"reqroute","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-07-01T09:53:06.375Z","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":"Agentic AI Developer","description":"Senior LangGraph & Agentic AI DeveloperLocation: Dallas, TX (Primary) / Charlotte, NC (Secondary) – Hybrid (3 Days Onsite)Interview ProcessRound 1 (Video – 30 Minutes): Initial technical screening to evaluate candidate suitability.Round 2 (In-Person – Dallas or Charlotte): Advanced technical discussion with coding assessment (AI assistance is not permitted). The assessment will include pseudocode, tool-calling, intent routing, and Agentic AI concepts.Final Client Round (In-Person – Dallas or Charlotte): Deep technical interview with hands-on coding evaluation.Position OverviewWe are seeking a highly experienced Senior LangGraph & Agentic AI Developer to design, build, and deploy enterprise-grade AI agent systems. The ideal candidate will possess deep expertise in Generative AI, LangGraph, LangChain, Large Language Models (LLMs), Prompt Engineering, and Agentic AI architectures, with proven experience delivering scalable production-ready AI solutions.This is a hands-on engineering role requiring exceptional Python programming skills and the ability to architect intelligent multi-agent workflows capable of reasoning, planning, tool calling, and autonomous decision-making.Key ResponsibilitiesDesign and develop advanced LangGraph workflows featuring complex node logic, branching, memory management, and stateful execution.Build and deploy scalable Agentic AI systems capable of reasoning, planning, and dynamic decision-making.Architect production-grade multi-agent applications using LangGraph and LangChain.Integrate LLMs with APIs, databases, vector stores, and external enterprise systems.Optimize performance, scalability, observability, and fault tolerance of AI workflows in production.Implement monitoring, logging, evaluation, and CI/CD pipelines for AI applications.Collaborate with AI researchers, architects, and product teams to translate business requirements into intelligent AI solutions.Mentor development teams and establish best practices for Agentic AI development.Design, build, and deploy enterprise-ready Agentic AI models across business use cases.Required Skills & Qualifications10+ years of software engineering experience.Minimum 2+ years of hands-on experience with LangGraph or similar Agentic AI frameworks.Strong expertise in:Generative AI fundamentalsPrompt EngineeringLarge Language Models (LLMs)Agentic AIAgentic System DesignLangChainLangGraphAI Monitoring & ObservabilityCI/CD for AI applicationsExpert-level proficiency in Python, asynchronous programming, and graph-based computation.Deep understanding of:LLM orchestrationMemory managementStateful agent architectureMulti-agent systemsTool callingIntent routingHands-on experience with OpenAI, Anthropic, or similar enterprise LLM platforms.Experience debugging LangGraph workflows using LangGraph Studio.Proven track record of building reliable, fault-tolerant, production-scale Agentic AI solutions.Experience implementing AI evaluation frameworks, including:Retrieval-Augmented Generation (RAG)Batch ProcessingAgentic AI Evaluation MetricsNice-to-Have SkillsExperience with Model Context Protocol (MCP) ServersGoogle Agent Development Kit (Google ADK)Knowledge of enterprise AI governance, security, and responsible AI practices","datePosted":"2026-07-01T09:53:06.375Z","dateModified":"2026-07-01T09:53:06.375Z","hiringOrganization":{"@type":"Organization","name":"Reqroute","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f2fcd05afd8bad92bb47db50"},"url":"https://jobsearcher.com/jobs/f2fcd05afd8bad92bb47db50"}}