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 Required
- 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 used by real users in production
- Background at an organization known for a demanding engineering standard
- Experience at a growth-stage startup, ideally one with venture investors
- 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
What We Do
Raydar is a talent acquisition and business consulting firm that connects world-class and emerging talent with growing organizations. It supports companies through team development, strategic hiring, and customized growth solutions, helping clients recruit roles such as engineers, product managers, executives, legal counsel, and quantitative traders. Raydar focuses on understanding each organization’s needs, culture, and long-term goals to build high-impact teams.
