Collaborate with software and hardware teams to identify high-impact opportunities for applying agentic AI technologies.
Lead the design, development, and optimization of agentic AI solutions that address challenges in performance, quality and productivity.
Develop and maintain agentic AI benchmarks to evaluate performance across diverse use cases.
Requirements
Bachelor's degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); MS or PhD preferred.
3 years+ industry or academia experience with AI systems development; exposure to building foundational models, reinforcement learning, agents or orchestration frameworks; hands-on experience with deep learning frameworks and inference stacks.
Proficiency in Python and at least one systems language such as Go, Rust, or C++
Experience developing agentic or automated systems that communicate with external tools, APIs, browsers, or operating systems