Bay Area On-Site Senior Engineering & AI Domain Expert

Weekday AI; California City (CA); Hybrid; USD 90,000 - 145,000; Full time

Job summary

Weekday AI is seeking a senior engineering and software domain expert to collaborate with a leading AI lab's research and program management teams. You will review quality of engineering tasks, write specs, and build benchmarks to ensure models reason correctly about real software work.

This hybrid Bay Area role requires on-site work several days weekly and relocation if not currently in the Bay Area. The ideal candidate has 4+ years of hands-on experience, strong AI fluency, and a proven

Qualifications

• Bachelor's degree or higher in computer science, software engineering, or a closely related engineering discipline. An MS or PhD is strongly preferred.
• 4+ years of substantive professional engineering practice, building and shipping production software or engineered systems at a reputable organization.
• Genuine specialization in at least one area: distributed systems/backend, security/cryptography, embedded/firmware, ML systems, developer tooling, platform engineering, or quality/test engineering.
• Clear progression to a senior level (Senior, Staff, Principal, Architect, or Engineering Lead) with ownership of systems and design decisions.
• Visible record of engineering output such as shipped systems, patents, open source contributions, or published technical work (preferred).
• Hands-on use of large language models in professional work and ability to judge well-reasoned answers.
• Able to commit reliably to 40 hours per week for an initial engagement of 6 months.
• Living in the Bay Area, CA and able to work on-site with the client's team multiple days each week.

Responsibilities

• Data QA and reviews: Vet the quality of engineering knowledge work tasks and model outputs, spotting issues and edge cases.
• Instruction specs and golden datasets: Write instruction specs, produce golden solutions, and define new engineering tasks.
• Benchmarks and domain depth: Design challenging engineering tasks and evaluation sets; build engineering tools with the research team.
• Calibration: Align standards with client researchers to translate tacit judgment into explicit criteria.

Skills

4+ years engineering practice

AI fluency

Strong written communication

On-site collaboration

40 hours per week commitment

Education

Bachelor's degree or higher in CS/Software Engineering

MS or PhD preferred

Job description

Weekday AI is seeking a senior engineering and software domain expert to collaborate with a leading AI lab's research and program management teams. You will review quality of engineering tasks, write specs, and build benchmarks to ensure models reason correctly about real software work.

This hybrid Bay Area role requires on-site work several days weekly and relocation if not currently in the Bay Area. The ideal candidate has 4+ years of hands-on experience, strong AI fluency, and a proven