Agentic AI Engineer

Texas Instruments • Richardson, TX • 5h ago

Change the world. Love your job.

Texas Instruments is transforming semiconductor manufacturing through AI. This role sits within the Smart Manufacturing Automation (SMA). organization You will design, build, and operate the agentic AI infrastructure that powers factory intelligence across TI's global fab and assembly/test operations to connect large language models to live manufacturing data systems and enabling rapid decision support at scale.

What You'll Do

Architect and deliver multi-agent AI systems using the A2A (Agent-to-Agent) protocol, including orchestrator and sub-agent topologies that span multiple factory data sources.

Build and maintain MCP (Model Context Protocol) servers in Python, containerized with Docker and deployed on VMs and Kubernetes clusters; register agents and MCP servers.

Integrate LLM inference into factory workflows; manage LiteLLM project credentials, budgets, and routing configurations.

Develop agent tools that query manufacturing databases (MES, FDC, APC, OEE, etc.) and expose clean interfaces for downstream AI consumption.

Design, evolve, and influence the Agent Delivery Framework.

Establish and document agentic software development best practices; create reusable agent templates adopted across business teams.

Build and maintain Knowledge Graph and RAG systems (Neo4j, Vectara) to enable document and parametric data retrieval across thousands of manufacturing documents and records.

Collaborate with multiple departments, domain architects, and factory engineers to identify high ROI agent use cases, prioritize delivery, and ensure agents meet security and authentication requirements.

Present architecture roadmaps and live agent demos to peers and senior manufacturing leadership.

Contribute to cross-domain AI access and guardrails governance strategy.

Why TI?

Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.

We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI (https://edbz.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/pages/4012)

Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us.

About Texas Instruments

Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and communications equipment. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com .

Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws.

If you are interested in this position, please apply to this requisition.

Minimum Qualifications:

Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field.

4+ years of software engineering experience, with at least 2 years focused on AI/ML systems or LLM application development.

Proficiency in Python and experience containerizing applications with Docker.

Hands-on experience building or integrating with REST API backends and asynchronous service architectures.

Strong communication skills - able to translate complex AI architecture decisions for non-technical manufacturing stakeholders.

Preferred Qualifications:

Experience with multi-agent AI frameworks, agent orchestration patterns, or the MCP (Model Context Protocol) specification.

Familiarity with LiteLLM, Open Web UI, or similar LLM proxy/routing platforms.

Experience deploying workloads on Kubernetes (K8s) or cloud-adjacent enterprise platforms.

Working knowledge of graph databases (Neo4j) and vector search systems (Vectara, pgvector, or equivalent).

Prior exposure to semiconductor or discrete manufacturing data systems (MES, FDC, SPC, SCADA, APC) is a strong plus.

Experience with workflow automation tools (e.g. Airflow) and CI/CD pipelines (Bitbucket, Jenkins, or equivalent).

Master's degree or equivalent industrial AI research experience.

ECL/GTC Required: Yes

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