AI Engineering Lead
Raydar
AI Engineering Lead
Raydar
AI-powered recruiting agency for tech roles
Raydar · New York, United States · Full-time · Posted 2026-11-10
Salary: USD 240,000–340,000
Workplace: on_site
About the company
Our client is a fintech company.
The role
Raydar is recruiting for this role on behalf of our client. Lead the design, build and ownership of a company's AI systems, from architecture through production. Work directly with the founding leadership, set technical direction for AI work, plan for growth as usage increases, and mentor new engineers. The role is hands-on and based on-site.
What you'll do
- Design, build and operate AI systems end to end, from evaluation through production.
- Own the architecture of AI features across the product.
- Lead and guide AI development efforts and set technical direction.
- Address scaling challenges as the system supports more and more users.
- Ship meaningful improvements to AI features early in the role.
- Interview, hire and mentor engineers who join the team.
What we're looking for
- Track record taking multi-step LLM-powered software from concept through testing, monitoring and live operation.
- Working depth across several LLM application frameworks and model types.
- Experience significantly scaling AI products at a fast-moving company.
- Practical skill tailoring model behavior and prompt design to sort items or make reasoned assessments.
- Production backend development experience in Python.
- Experience at a company focused on AI or agents.
- Engineering degree from a highly ranked university.
Bonus points
- Earlier experience launching a new venture as one of its leaders.
Compensation and benefits
- Base salary: USD 240,000 to 340,000
- Equity
- Retirement plan with employer matching contribution
- Health, dental and vision coverage
- Flexible time off
Location and work model
- New York, NY, United States
- On-site, five days a week in office
- 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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