The role involves building and evaluating real-world artificial intelligence applications with commercial impact. The engineer will design, develop, and deploy systems driven by large language models for hardware product teams. Responsibilities include developing agentic flows, building evaluation pipelines, and gathering data to measure system performance. The position requires benchmarking models and approaches for speed, cost, and accuracy. The engineer will participate in the full product lifecycle from experimentation to deployment and continuous improvement.

The role requires profound knowledge of large language model engineering and the ability to build and evaluate features in production environments. Candidates must possess advanced Python development skills and production experience with agentic loops, tool-calling, and orchestration. The position necessitates the ability to plan experiments autonomously and work effectively within multidisciplinary teams. No specific degree or professional qualification requirements are mentioned in the text.