Texas Instruments

Agentic AI Engineer

Texas Instruments$100K — $130K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or related technical field.
  • 4+ years of software engineering experience focused on AI/ML systems or LLM application development.
  • Proficiency in Python and experience with Docker for containerization.
  • Experience integrating REST API backends and asynchronous service architectures.
  • Strong communication skills for conveying complex AI concepts to non-technical stakeholders.

Responsibilities

  • Architect and deliver multi-agent AI systems using the Agent-to-Agent protocol.
  • Build and maintain Model Context Protocol servers in Python, containerized with Docker.
  • Integrate Large Language Model inference into factory workflows.
  • Develop tools for querying manufacturing databases and expose clean interfaces.
  • Design and evolve the Agent Delivery Framework.
  • Establish software development best practices for agentic AI.
  • Build and maintain Knowledge Graph and RAG systems for data retrieval.

Benefits

  • Opportunity to work on cutting-edge AI technologies in semiconductor manufacturing.
  • Collaboration with multiple departments and exposure to senior leadership.
  • Access to a highly innovative environment focused on smart manufacturing solutions.
Full Job Description
Job Description

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.


Qualifications

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.


About the Team

TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment.

About Texas Instruments

National Semiconductor is a semiconductor manufacturer, specializing in analog devices and subsystems, headquartered in Santa Clara, California. The products of National Semiconductor include power management circuits, display drivers, audio and operational amplifiers, communication interface products and data conversion solutions. National's key markets include wireless handsets, displays and a variety of broad electronics markets, including medical, automotive, industrial, and test and measurement applications.

Texas Instruments Careers

Join the innovative world of Texas Instruments, a global leader in semiconductor design and manufacturing. As part of our team, you will be at the forefront of technological advancement, working alongside the brightest minds in the industry.

Opportunities at Texas Instruments

Whether you're seeking your first internship or a seasoned professional position, Texas Instruments offers a range of job opportunities designed to empower your career growth and development. Our commitment to innovation and diversity is reflected in every aspect of our business, from the ground up.

Work You’ll Do

At Texas Instruments, you will contribute to projects that revolutionize technology and have a global impact. Our team members lead the way in semiconductor innovation, pushing the boundaries of what's possible in electronics and beyond.

Join Our Team

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Our employees are encouraged to take bold steps in their career paths, supported by our industry-leading training programs and development resources. With a focus on continuous improvement and leadership development, Texas Instruments ensures that your career trajectory is always upward.

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We believe that a diverse team is a strong team. Diversity training and inclusive culture are at the heart of our employment strategy, ensuring that all team members feel valued and can contribute their unique perspectives.

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Texas Instruments is committed to providing benefits that enhance the lives of our employees and their families. From health and wellness to financial and retirement planning, our benefits package is designed to support a balanced, fulfilling life both at and outside of work.

Networking and Professional Development

Advance your career through networking opportunities within Texas Instruments and our broader industry connections. Our collaborative environment encourages the sharing of ideas and best practices, which leads to greater innovation and personal career success.

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Learn more about Texas Instruments
Size
31,000 employees
Market Cap
$148.9 billion
Industry
Net Income
$5.5 billion
Founded
1930
5 Year Trend
+6.5%
Revenue
$14.4 billion
NASDAQ

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