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.
Strong C/C++ and Python programming skills and solid software engineering fundamentals.
Outstanding problem-solving abilities and effective interpersonal skills.

Benefits

Competitive salaries
Generous benefits package
Equity opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

CC++PythonAI systems developmentdeep learning frameworksreinforcement learningfoundational modelsorchestration frameworkssoftware engineering fundamentalsinference stacks

Soft Skills

problem-solvinginterpersonal skills

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Electrical EngineeringMSPhD