Senior AI Product Engineer

Senior AI Product EngineerAbout Fonzi AI

We're a Series A startup backed by Lightspeed revolutionizing hiring through AI. Founded by repeat entrepreneurs (Kumospace), we launched our AI-powered recruiting marketplace in June 2025 and are already revenue-positive with just under 100 employer partners—75%+ are AI-native companies. Thousands of engineers are on our platform, and we're running Match Days every two weeks where pre-screened candidates receive competing offers from top employers.

Our vision: build the infrastructure where AI learns what engineers actually do, what they want, and matches them to opportunities automatically. We're not just using AI at the edges—we're building toward a future where intelligent systems handle the entire recruiting workflow, and we need engineers who want to build that future with us.

The Senior AI Product Engineer is a new kind of role for a new era of software development. The line between "full-stack engineer" and "AI engineer" is blurring fast—and at Fonzi, we've stopped pretending it exists.

You’ll own features end-to-end: from database schemas to React components to the AI agents that make our platform intelligent. Some weeks you’re building robust backend systems. Other weeks you’re experimenting with the latest models to create features that feel like magic. Most weeks, it’s both.

We’re looking for engineers who’ve had the "aha moment"—who understand that AI changes everything about how software gets built—and who want to work at a company where that belief is baked into every product decision.

• AI agents that conduct intelligent conversations with candidates—voice interfaces that onboard engineers, coaching systems that prep them for interviews, matching algorithms that learn from every interaction

• The platform that powers a two-sided marketplace—Type Script/Node.js backends, React/Next.js frontends, Postgre
  
  SQL data layer, all built for speed and iteration

• AI-powered features from concept to production—rapidly prototype with the latest models, make smart trade-offs between cost/quality/speed, then scale the winners to thousands of users

• The intelligence layer that makes our marketplace smarter with every candidate conversation, every match, every hire—the data flywheel that will define our competitive advantage

• Type Script across the stack: Strong proficiency in Type Script, Node.js, React, and Next.js—you’ll move fluidly between backend and frontend

• Production AI experience: You’ve shipped LLM-powered features to real users—whether that’s agentic systems, conversational AI, intelligent automation, or integrating models into applications. We care that you’ve done it, not how deep you went.

• Product engineering mindset: You care about user experience, not just technical implementation. You’ll help define the "what" not just build the "how."

• Database fluency: Postgre
  
  SQL experience—efficient queries, sensible schemas, understanding of how data flows through a system

• Startup velocity: 5+ years of experience with meaningful time in fast-paced environments where you owned problems end-to-end

• Ship‑first mentality: You default to shipping and iterating. You’re deliberate about trade-offs but allergic to over-engineering.

• AI coding tool mastery: You’re fluent with tools like Claude Code, Cursor, Copilot, or similar. You don’t just use them—you’ve developed workflows that make you dramatically faster. You understand when to lean on AI assistance and when to think for yourself.

We recognize that "AI Engineer" means different things to different people. You might be:

• A full-stack engineer who’s been going deep on AI for the past year and wants to do more

• An AI-focused engineer who can also build solid product features

• Someone who’s been building agentic systems and wants to apply that to a real business problem

• A product engineer who uses AI tools daily and wants to build AI features, not just use them

All of these profiles can succeed here. What matters is that you can build across the stack AND have genuine experience shipping AI to production. The ratio is less important than the capability.