{"schemaVersion":"jobsearcher.job.v1","id":"a3de777ee4f41fe4a26bd328","url":"https://jobsearcher.com/jobs/a3de777ee4f41fe4a26bd328","canonicalUrl":"https://jobsearcher.com/jobs/a3de777ee4f41fe4a26bd328","title":"Agentic AI developer","description":"Agentic AI developer Location: Plano, TX Duration: 12 months Please share your resume at anoop.j@precisiontechcorp.com A face-to-face interview is required after the video interview.Key ResponsibilitiesAgent Development: Design and build AI agents that support high-performance, reliable, scalable, and secure workloads.System Integration: Integrate agenticReasoning & Planning: Implement advanced prompting strategies, chain-of-thought reasoning, and self-reflection loops (Reflexion, ReAct).Reasoning & Planning: Implement advanced prompting strategies, chain-of-thought reasoning, and self-reflection loops (Reflexion, ReAct).Framework Utilization: Work with LangChain, LangGraph, or similar multi-agent frameworks.Production: Move prototypes from R&D to production, ensuring low latency, high accuracy, and observability via Amazon CloudWatch.Collaboration: Work with Product Managers, Data Scientists, and Applied Scientists to define agent behaviors.Required QualificationsExperience: 5 to 7 years of professional software development experience.Programming: Strong proficiency in Python or Java.AI/ML: Hands-on experience with LLMs, prompt engineering, and RAG (Retrieval-Augmented Generation).Cloud Computing: Deep understanding of core AWS services.SDLC: Familiarity with DevOps, CI/CD, and containerization (Docker/Kubernetes).Preferred QualificationsExperience with Amazon Bedrock AgentCore or other serverless agentic architectures.Advanced degree (MS or PhD) in Computer Science, Machine Learning, or related field.Experience in designing multi-agent systems.Knowledge of Model Context Protocol (MCP).Strong background in distributed systems and high-performance computing.","company":"Precision Technologies","rawCompany":"precision technologies","city":"Garland","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-04-16T09:44:49.051Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"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":"Agentic AI developer Location: Plano, TX Duration: 12 months Please share your resume at anoop.j@precisiontechcorp.com A face-to-face interview is required after the video interview.Key ResponsibilitiesAgent Development: Design and build AI agents that support high-performance, reliable, scalable, and secure workloads.System Integration: Integrate agenticReasoning & Planning: Implement advanced prompting strategies, chain-of-thought reasoning, and self-reflection loops (Reflexion, ReAct).Reasoning & Planning: Implement advanced prompting strategies, chain-of-thought reasoning, and self-reflection loops (Reflexion, ReAct).Framework Utilization: Work with LangChain, LangGraph, or similar multi-agent frameworks.Production: Move prototypes from R&D to production, ensuring low latency, high accuracy, and observability via Amazon CloudWatch.Collaboration: Work with Product Managers, Data Scientists, and Applied Scientists to define agent behaviors.Required QualificationsExperience: 5 to 7 years of professional software development experience.Programming: Strong proficiency in Python or Java.AI/ML: Hands-on experience with LLMs, prompt engineering, and RAG (Retrieval-Augmented Generation).Cloud Computing: Deep understanding of core AWS services.SDLC: Familiarity with DevOps, CI/CD, and containerization (Docker/Kubernetes).Preferred QualificationsExperience with Amazon Bedrock AgentCore or other serverless agentic architectures.Advanced degree (MS or PhD) in Computer Science, Machine Learning, or related field.Experience in designing multi-agent systems.Knowledge of Model Context Protocol (MCP).Strong background in distributed systems and high-performance computing.","datePosted":"2026-04-16T09:44:49.051Z","dateModified":"2026-04-16T09:44:49.051Z","hiringOrganization":{"@type":"Organization","name":"Precision 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