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Raydar

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Senior AI Engineer

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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

Skills

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