Founding Engineer
Raydar
Founding Engineer
Raydar
AI-powered recruiting agency for tech roles
Raydar · San Francisco, United States · Full-time · Posted 2026-11-10
Salary: USD 200,000–250,000
Workplace: on_site
About the company
Our client is a healthcare technology company.
The role
Raydar is recruiting for this role on behalf of our client. Own engineering work end to end on production AI systems, from technical design through deployment and ongoing iteration. Set your own success measures, make key technical decisions, and work in person with the leadership team. This role suits a generalist who has taken full ownership of outcomes rather than executing assigned tasks.
What you'll do
- Design and build AI-driven systems that run multi-step workflows reliably at scale.
- Own systems end to end, from architecture through production operation.
- Shape technical strategy with the founders and define how success is measured.
- Iterate quickly using feedback drawn from live usage data.
- Work across the full stack, choosing whatever tools suit the problem.
What we're looking for
- Proven experience designing and running production systems end to end.
- A track record of owning outcomes and making independent decisions.
- Comfort working across the full stack, without a narrow specialty.
- A computer science or engineering degree.
Bonus points
- Prior founder experience, or senior engineering experience gained before AI coding tools became common.
- Experience at early-stage startups or health technology companies.
- Experience building and deploying LLM or agent systems in production.
- Experience with automated phone calling systems.
- Background from a leading engineering university.
- Experience as a student-athlete.
Compensation and benefits
- Base salary: USD 200,000 to 250,000 per year
- Equity
- Relocation assistance, considered case by case
Location and work model
- San Francisco, CA, United States
- On-site, 5 days a week
- Full-time
Powered by Workable
Raydar is an AI-powered talent acquisition firm that serves tech-focused organizations on a contingency basis, charging client companies only after a successful hire. It uses proprietary AI to identify a large pool of candidates and conducts a short 15-minute AI-driven interview (recorded and transcribed) before human recruiters review materials, provide interview prep, and assist with offers and negotiations. What sets it apart is the blend of automated sourcing and screening with hands-on human oversight and tailored client support. Its goal is to help organizations hire more efficiently by speeding up sourcing while maintaining thorough evaluation and negotiation assistance.
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