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Salary
$200k – $400k per year
Location
In office (San Francisco)
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Oct 15, 2026.

Overview
Company
Impact
Profile match
Operating as a modern AI-powered recruitment agency and talent marketplace, Raydar connects high-growth technology companies and venture-backed startups with specialized technical and commercial professionals. The platform integrates automated conversational AI screening to conduct initial structured candidate interviews before human recruiters take over to handle contextual matching, personalized interview preparation, and offer negotiations. Specializing in placements across software engineering, AI/data infrastructure, product development, and go-to-market functions, the firm helps innovative enterprises scale their distributed teams.

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

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