Founding AI Product Engineer

Posted Yesterday
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San Francisco, CA, USA
In-Office
200K-250K Annually
Junior
Professional Services • Consulting
The Role
Build and ship the company’s second major AI product across backend APIs, dashboards, and developer experience. Work directly with founders and customers to identify problems, prioritize features, and translate feedback into production software. The role requires ownership of ambiguous problems, rapid execution, and close collaboration in a high-growth startup environment.
Summary Generated by Built In

About the company
Our client is a lean, profitable AI infrastructure company building an open-source gateway for teams to work with 100+ AI providers through a unified API. Its Python SDK and FastAPI proxy support a growing base of leading enterprise customers. The company is growing rapidly and is building its second major product.
The role
We are hiring a Founding AI Product Engineer to work directly with the founders on that next product. This is a high-ownership role for someone who can ship quickly, talk to users, gather feedback, and turn what they learn into useful features. You will own important parts of the backend API, dashboard, and developer experience as the product takes shape.
What you'll do
• Build and ship product features across backend APIs, the dashboard, and the developer experience.
• Work directly with users to understand their problems and translate feedback into product decisions.
• Partner closely with the founders to shape and launch the company’s second major product.
• Use customer insight to prioritize practical features and improve the product after launch.
• Take ownership of ambiguous problems and move them from idea to production.


Requirements

What we're looking for
• 2 or more years of AI engineering experience.
• A bachelor’s degree in computer science from a top 25 U.S. computer science program.
• Ability to ship production software and communicate proactively with customers.
• Professional English fluency.
• Evidence of initiative in college through entrepreneurial projects, hackathons, or coding competitions.
• Comfort working with Python, FastAPI, TypeScript, and LLM APIs in a product environment.
• Willingness to work full time, five days onsite in San Francisco, on a 60-hour workweek.
Bonus points
• Production experience with Python and FastAPI.
• Experience with infrastructure, developer tools, or LLM products.
• Experience building products in a high-growth, early-stage environment.


Benefits

Compensation and benefits
• Base salary of $200K to $250K, with competitive equity.
• A U.S. relocation stipend for eligible candidates.
Location and work model
• Five days per week onsite in San Francisco.
• Full-time role with a 60-hour workweek.
• Visa sponsorship and transfers are supported.

Skills Required

  • At least 2 years of AI engineering experience
  • Bachelor’s degree in computer science from a top 25 U.S. computer science program
  • Ability to ship production software
  • Ability to communicate proactively with customers
  • Professional English fluency
  • Evidence of college initiative through entrepreneurial projects, hackathons, or coding competitions
  • Experience or comfort working with Python, FastAPI, TypeScript, and LLM APIs in a product environment
  • Willingness to work full time, five days onsite in San Francisco, on a 60-hour workweek
  • Production experience with Python and FastAPI
  • Experience with infrastructure, developer tools, or LLM products
  • Experience building products in a high-growth, early-stage environment
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The Company
28 Employees
Year Founded: 2021

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.

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