AI Product Engineer, Fireworks AI

• If you're the kind of engineer who ships things other people think are impossible, on timelines other people think are impossible, this is a place where that has enormous leverage and nothing standing between you and impact
• 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, you're as comfortable scoping an ambiguous problem as you are deploying the fix at 2am
• Strong product instincts: you optimize for the developer experience, not just the diff
• The ability to operate at high velocity with extreme ownership: you ship fast, make pragmatic trade-offs, and don't wait to be told what to build

Desirable

• We're looking for a product-minded engineer to join as a Member of Technical Staff and own the surfaces that make this real: the intelligent router that scores and directs every request, the cost-observability and enterprise-control layers that give an org visibility over its entire AI footprint, the FireConnect integrations that make adoption a single command, and the core platform underneath; inference APIs, the developer console, and fine-tuning workflows
• This is a high-autonomy IC role on a small team building something that ships to production the day you write it, at a scale almost nowhere else can offer
• You'll own features end to end — from understanding the problem, to designing the solution, to shipping it, to watching how developers actually use it
• Own product features end-to-end across Nexus and the broader Fireworks platform, 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, scoping the problem, building it, shipping it, instrumenting it, and iterating on real usage
• Build the routing and migration layer that scores request difficulty in real time and sends routine work to open models while passing hard tasks through to a customer's existing provider, the system that delivers 3–5x cost reductions without sacrificing quality
• Make adoption frictionless: extend FireConnect and our Anthropic- and OpenAI-compatible APIs so a team can drop Nexus into their existing tools with just a base URL and a model ID, and improve the caching and infra paths that turn that into material cost savings
• Work across the full stack, frontend (React/TypeScript), backend services (Python, Go), APIs, and data layers, to ship polished, production-quality product surfaces for deeply technical users
• Build for products evolving week to week: new models, new serving paths, new consumption models, new enterprise controls, and new multi-agent harness tooling
• Partner closely with Infrastructure, Applied Research, Growth, Data, and Design to turn raw platform capability into products developers love
• Instrument everything you build and let the data tell you where the friction is — then remove it