AI/ML Engineer
Texas Instruments3 days ago
Responsibilities
- Architect and implement scalable ML systems and end-to-end pipelines using structured and unstructured data.
- Build LLM-based solutions, RAG systems, agentic workflows, multi-agent systems, prompt-engineering approaches, and MCP integrations.
- Design reliable ML workflows across segregated database systems for real-time and batch processing.
- Rapidly prototype ML solutions with cross-functional manufacturing partners and productionize high-impact proofs of concept.
- Own model deployment, monitoring, retraining, drift detection, reliability, and production troubleshooting.
- Establish DevOps, containerization, infrastructure, testing, documentation, reproducibility, and governance practices.
- Mentor junior ML engineers, conduct technical code reviews, establish engineering standards, and lead technical discussions.
- Use Git and JIRA workflows while participating in sprint planning and cross-functional collaboration.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Computer Graphics Technology, Electrical Engineering, Computer Engineering, or a related field.
- 5+ years of applied ML engineering experience with demonstrated impact in production systems.
- Hands-on experience building with LLMs, prompt engineering, RAG systems, agents, and multi-agent orchestration, including familiarity with MCP patterns.
- Experience building, deploying, and maintaining production ML systems with model versioning, monitoring, retraining, and drift detection.
- Strong software engineering fundamentals, including Git/GitHub workflows, JIRA or issue tracking, SDLC practices, testing, documentation, and production-quality Python.
- Working familiarity with relational and NoSQL databases and experience building or optimizing data pipelines.
- Preferred experience with IoT, manufacturing execution systems, connected factories, semiconductor manufacturing, yield optimization, defect detection, process control, or equipment diagnostics.
- Preferred experience with multi-agent LLM systems, real-time or streaming ML, online learning, low-latency inference, feature stores, experiment tracking, model governance, and manufacturing compliance.
- Leadership and mentorship experience in cross-functional technical environments is preferred.
Benefits
- Comprehensive benefits supporting health coverage and overall wellness.
- Collaborative environment with innovators, professional growth opportunities, and challenging technical work.
- Competitive compensation and extensive health and wellness programs.
- Full-time position based in Richardson, Texas.
Categories
About Texas Instruments
Texas Instruments designs and manufactures analog and embedded processing semiconductors—including MCUs, power management, signal chain and DLP devices—sold to OEMs in industrial, automotive, personal electronics and communications markets. Founded in 1930 and headquartered in Dallas, it is a public company (NASDAQ: TXN) with worldwide fabrication and assembly operations and a direct online store, supplying long-lifecycle parts used in everything from factory automation to vehicles and consumer devices.