AI Product Engineer

What you'll do

• Manage the AI product lifecycle, including discovery, roadmap, backlog, agile delivery, adoption, and outcome measurement.
• Prototype and integrate GenAI and Agentic AI solutions, including LLM applications, agents, and workflow automation.
• Partner with data engineering and UX teams on data pipelines, quality, security, governance, user experience, training, and continuous improvement.

What they ask for

• Master's degree or equivalent experience in Engineering, Data Science, Business Management, Information Systems, or a related area.
• Hands-on experience building and deploying LLM/GenAI applications, with strong Python, SQL, and data manipulation skills.
• Experience deploying applications and applying software engineering fundamentals, including testing, version control, and API design.
• Strong communication, backlog management, and systems-thinking skills; experience in the semiconductor industry or a related field.

Nice to have

• Prior experience as a Product Owner, Data Scientist, or Data Engineer; experience with business function stakeholders.
• MLOps/LLMOps, production AI, Snowflake/Cortex, vector databases, or multi-agent systems experience.

Tools

Python, SQL, LLMs, GenAI, Agentic AI, Snowflake/Cortex

AI focus

Build, deploy, and operate GenAI and Agentic AI products, including LLM integrations, prompt/context engineering, evaluation, AI agents, and workflow automation.