Senior AI Engineer

About the company

Our client is a fast-growing software company.

The role

Raydar is recruiting for this role on behalf of our client. Lead the applied AI work for a software product, covering model integration, data flows, quality measurement and release. This is a hands-on engineering position in production code, and the person hired will be among the first engineers shaping technical direction.

What you'll do

• Own the full lifecycle of AI-driven features, from design through deployment and ongoing support.
• Create automated quality checks ahead of feature work so that model changes are validated before release.
• Tune response times and running costs so the system performs well under real usage volumes.
• Investigate unclear product issues and pinpoint whether the cause lies in the model, the data or the interface, then fix it.
• Release to production every week and track how changes behave with live users.
• Set early architectural direction that the platform will build on for years.
• Act as the go-to colleague for model-related issues across the team.

Requirements

What we're looking for

• Degree in Computer Science, ideally from a highly ranked university.
• Solid practical programming ability in Python for backend AI and ML services.
• Track record of creating evaluation tooling for language models that detected quality regressions.
• Prior delivery of an AI or ML feature that real users depended on in production, beyond prototypes or internal demos.
• Background at an organization known for a demanding engineering standard.
• Experience at a growth-stage startup, ideally one with venture investors.

Bonus points

• Publicly visible technical contributions such as open-source projects, publications or personal builds.
• Hands-on experience with machine learning or model tuning.
• Familiarity with e-commerce or marketplace products.

Benefits

Compensation and benefits

• Base salary: USD 200,000 to 400,000 per year
• Equity

Location and work model

• San Francisco, CA, United States
• On-site
• Full-time