Founding Full-Stack Engineer
Raydar
Founding Full-Stack Engineer
Raydar
AI-powered recruiting agency for tech roles
Raydar · San Francisco, United States · Full-time · Posted 2026-11-10
Salary: USD 150,000–300,000
Workplace: on_site
About the company
Our client is an artificial intelligence software company.
The role
Raydar is recruiting for this role on behalf of our client. Join as an early engineer covering both backend infrastructure and user-facing features. The role combines system design, product decisions and, when needed, direct conversations with customers.
What you'll do
- Build and improve core infrastructure and user-facing product features.
- Design systems for long-running processes, personalization and internal tools.
- Make product and design choices that improve the user experience.
- Join customer conversations when needed to explain features and recommended practices.
- Work closely with leadership to keep shipping product improvements quickly.
What we're looking for
- Strong background in infrastructure engineering.
- Full-stack experience across product and platform layers.
- Skill in weighing architecture options and explaining trade-offs clearly.
- Product sense for user-facing software.
- Proven history of shipping dependable production software at notable scale.
- Able to discuss past projects in technical depth.
- One to seven years of professional experience.
Bonus points
- Sensitivity to interface quality and careful, precise execution.
- Founder experience or participation in a founder fellowship.
- Experience at a strong engineering organization.
- Standout results in academic contests or strategy-based play.
- Willingness to take part in client discussions that support setup and troubleshooting.
Compensation and benefits
- Base salary: $150,000 to $300,000
- Equity
- Medical, dental and vision coverage
- 401(k) retirement plan
- Flexible time off
Location and work model
- San Francisco, CA, United States
- On-site (in office)
- Full-time
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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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