at Fireworks AI
Location
San Mateo, CA
Type
full time
Posted
1 months ago
Market range · function + seniority
p25 · target · p75 · n=800
Tailor your résumé to this role in 30 seconds.
Free account · ATS keyword check · per-job bullet rewrite by Claude.
Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
We are looking for a Full Stack Software Engineering to architect, build, and scale our developer-focused web application (fireworks.ai) and shape our end-to-end technical architecture. This role blends hands-on engineering with technical leadership, offering the opportunity to mentor other engineers, collaborate cross-functionally, and drive innovation in a fast-paced, AI-focused environment.
You'll play a key role in delivering scalable, elegant, and highly performant solutions that directly impact our hundreds of thousands of developers and product vision. You will be directly shaping and shipping the most optimal developer journey—spanning intuitive front-end interfaces, robust APIs, and efficient backend orchestration—combined with our large offering of open-source generative AI models, enabling our users to seamlessly build, experiment, and ship their AI workflows with our playground.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
More open roles at Fireworks AI
Hiring velocity, headcount trend, and every open posting on one page.
Open postings ranked by description similarity — useful if this role isn't quite right.