AI Product Engineer

Fireworks • San Mateo, CA

4d • $200,000 - $300,000

About The Position

Fireworks is seeking a product-minded engineer to join as a Member of Technical Staff. This role will own the development and implementation of key features for Fireworks Nexus, a platform designed to route AI workloads to open models, reducing costs and improving efficiency. The engineer will be responsible for the intelligent router, cost-observability and enterprise-control layers, FireConnect integrations, inference APIs, the developer console, and fine-tuning workflows. This is a high-autonomy individual contributor role on a small team, offering the opportunity to own features end-to-end, from problem understanding to shipping and iteration, with significant impact in a rapidly growing company at the forefront of enterprise AI.

Requirements

• 3+ years as a software engineer, with meaningful time spent building and shipping user-facing products.
• Strong full-stack skills, comfortable across frontend (React/TypeScript), backend (Python, Go, or similar), APIs, and databases.
• A track record of shipping developer-facing products: APIs, dashboards, consoles, CLIs, or developer tools.
• Genuine end-to-end ownership, comfortable scoping ambiguous problems and deploying fixes.
• Strong product instincts, optimizing for developer experience.
• Ability to operate at high velocity with extreme ownership, shipping fast and making pragmatic trade-offs.

Nice To Haves

• Experience building products on top of complex infrastructure, inference platforms, cloud services, data platforms, or ML tooling.
• Experience building for deeply technical users, where the product surface is an API as much as a UI.
• Comfort in a fast-moving, founder-led environment where the product changes week to week.
• Experience building with AI tools and a sharp intuition for a great AI developer experience.

Responsibilities

• Own product features end-to-end across Nexus and the broader Fireworks platform, including the intelligent router, FireConnect harness integrations, cost observability, enterprise controls and policy, the developer console, API surfaces, the model playground, fine-tuning workflows, and billing.
• Build the routing and migration layer that scores request difficulty in real time and directs work to appropriate models, enabling significant cost reductions.
• Make adoption frictionless by extending FireConnect and compatible APIs for seamless integration into existing tools.
• Improve caching and infrastructure paths to achieve material cost savings.
• Work across the full stack (frontend, backend services, APIs, data layers) to ship production-quality product surfaces for technical users.
• Build for rapidly evolving products, including new models, serving paths, consumption models, enterprise controls, and multi-agent tooling.
• Partner closely with Infrastructure, Applied Research, Growth, Data, and Design teams.
• Instrument all built features and use data to identify and remove friction points.

Benefits

• Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure.
• Build What’s Next: Work with bleeding-edge technology.
• Ownership & Impact: Join a fast-growing team where your work directly shapes the future of AI.
• Learn from the Best: Collaborate with world-class engineers and AI researchers.
• Equal-opportunity employer status.
• Inclusive environment for all innovators.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed