{"schemaVersion":"jobsearcher.job.v1","id":"09772c0cc3b7725320a7fbc1","url":"https://jobsearcher.com/jobs/09772c0cc3b7725320a7fbc1","canonicalUrl":"https://jobsearcher.com/jobs/09772c0cc3b7725320a7fbc1","title":"Python / Agentic AI Engineer","description":"Job Title: Python / Agentic AI FullStack EngineerLocation: Irving, TX (Hybrid 3 days/week)Duration: Contract (6-12 months)About TSRTSR is a trusted staffing and workforce solutions partner with more than 50 years of experience delivery highly qualified talent to support clients' most critical business and technology initiatives. Through a disciplined approach to sourcing, candidate vetting, and delivery, TSR helps organizations scale teams quickly while maintaining quality and reliability. TSR operates with a global delivery model, leveraging specialized teams to support enterprise clients across North America and beyond.In June 2024, TSR was acquired by Justin Christian, founder and CEO of BCforward, a global provider of professional services and workforce solutions. This partnership expands TSR's ability to deliver broader capabilities, global delivery resources, and enhanced opportunities for both clients and consultants.Position OverviewWe are seeking hands-on Python Engineers with strong Agentic AI development experience to build and enhance AI-powered solutions within a leading financial services technology environment.The ideal candidate will have experience building real AI agents using Google ADK, developing the backend services and tools that enable agents to access data and perform tasks, and working across the broader agentic AI technology stack.This is a developer-focused role. We are looking for engineers who have actually built and implemented AI agents, not candidates whose background is primarily Data Science, Data Engineering, or AI research.Key ResponsibilitiesDesign, build, test, and deploy production-quality AI agents using Google ADK.Develop agentic workflows, tools, services, and integrations supporting enterprise use cases.Build MCP servers and tools that enable agents to securely interact with data and enterprise systems.Develop REST APIs and backend services that provide data, functionality, and knowledge to AI agents.Integrate agents with enterprise data sources, APIs, and downstream systems.Implement semantic search and data-retrieval capabilities to enable intelligent, context-aware agent responses.Apply appropriate security, authentication, authorization, and data-access controls to agentic applications.Develop scalable backend components using Python and modern software engineering practices.Collaborate with Product, QA, architecture, security, and business teams to translate requirements into reliable AI solutions.Participate in Agile development, code reviews, technical design, testing, and production support.Use AI-assisted development tools such as GitHub Copilot to improve engineering productivity and code quality.Required SkillsStrong hands-on experience developing enterprise applications using Python.Proven hands-on experience building AI agents and agentic workflows.Google ADK (Agent Development Kit) experience is required.Experience developing tools, APIs, or services that AI agents can invoke.Experience with MCP / Model Context Protocol or similar agent-tool integration patterns.Strong experience with REST APIs and backend service development.Experience working with enterprise data sources and data-access patterns.Understanding of semantic search / retrieval and how agents access relevant knowledge.Knowledge of application security, authentication, authorization, and secure data access.Strong software engineering fundamentals and experience working in Agile environments.Preferred SkillsExperience with LangGraph, LangChain, OpenAI Agents SDK, or similar agentic AI frameworks in addition to Google ADK.Experience with RAG architectures, embeddings, vector databases, and retrieval pipelines.Experience with cloud platforms such as AWS, Azure, or Google Cloud.Experience with Docker, Kubernetes, CI/CD, and microservices.Experience with LLM APIs and enterprise AI platforms.Experience with SQL and relational databases.Experience building production-grade AI applications in large enterprise environments.Financial services / banking experience is a plus.Strong experience with GitHub Copilot or comparable AI-assisted development tools.","company":"Tsr Consulting","rawCompany":"tsr consulting","city":"Arlington","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-09-08T08:35:35.615Z","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":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Python / Agentic AI Engineer","description":"Job Title: Python / Agentic AI FullStack EngineerLocation: Irving, TX (Hybrid 3 days/week)Duration: Contract (6-12 months)About TSRTSR is a trusted staffing and workforce solutions partner with more than 50 years of experience delivery highly qualified talent to support clients' most critical business and technology initiatives. Through a disciplined approach to sourcing, candidate vetting, and delivery, TSR helps organizations scale teams quickly while maintaining quality and reliability. TSR operates with a global delivery model, leveraging specialized teams to support enterprise clients across North America and beyond.In June 2024, TSR was acquired by Justin Christian, founder and CEO of BCforward, a global provider of professional services and workforce solutions. This partnership expands TSR's ability to deliver broader capabilities, global delivery resources, and enhanced opportunities for both clients and consultants.Position OverviewWe are seeking hands-on Python Engineers with strong Agentic AI development experience to build and enhance AI-powered solutions within a leading financial services technology environment.The ideal candidate will have experience building real AI agents using Google ADK, developing the backend services and tools that enable agents to access data and perform tasks, and working across the broader agentic AI technology stack.This is a developer-focused role. We are looking for engineers who have actually built and implemented AI agents, not candidates whose background is primarily Data Science, Data Engineering, or AI research.Key ResponsibilitiesDesign, build, test, and deploy production-quality AI agents using Google ADK.Develop agentic workflows, tools, services, and integrations supporting enterprise use cases.Build MCP servers and tools that enable agents to securely interact with data and enterprise systems.Develop REST APIs and backend services that provide data, functionality, and knowledge to AI agents.Integrate agents with enterprise data sources, APIs, and downstream systems.Implement semantic search and data-retrieval capabilities to enable intelligent, context-aware agent responses.Apply appropriate security, authentication, authorization, and data-access controls to agentic applications.Develop scalable backend components using Python and modern software engineering practices.Collaborate with Product, QA, architecture, security, and business teams to translate requirements into reliable AI solutions.Participate in Agile development, code reviews, technical design, testing, and production support.Use AI-assisted development tools such as GitHub Copilot to improve engineering productivity and code quality.Required SkillsStrong hands-on experience developing enterprise applications using Python.Proven hands-on experience building AI agents and agentic workflows.Google ADK (Agent Development Kit) experience is required.Experience developing tools, APIs, or services that AI agents can invoke.Experience with MCP / Model Context Protocol or similar agent-tool integration patterns.Strong experience with REST APIs and backend service development.Experience working with enterprise data sources and data-access patterns.Understanding of semantic search / retrieval and how agents access relevant knowledge.Knowledge of application security, authentication, authorization, and secure data access.Strong software engineering fundamentals and experience working in Agile environments.Preferred SkillsExperience with LangGraph, LangChain, OpenAI Agents SDK, or similar agentic AI frameworks in addition to Google ADK.Experience with RAG architectures, embeddings, vector databases, and retrieval pipelines.Experience with cloud platforms such as AWS, Azure, or Google Cloud.Experience with Docker, Kubernetes, CI/CD, and microservices.Experience with LLM APIs and enterprise AI platforms.Experience with SQL and relational databases.Experience building production-grade AI applications in large enterprise environments.Financial services / banking experience is a plus.Strong experience with GitHub Copilot or comparable AI-assisted development tools.","datePosted":"2026-09-08T08:35:35.615Z","dateModified":"2026-09-08T08:35:35.615Z","hiringOrganization":{"@type":"Organization","name":"Tsr Consulting","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Arlington","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"09772c0cc3b7725320a7fbc1"},"url":"https://jobsearcher.com/jobs/09772c0cc3b7725320a7fbc1"}}