Fireworks AI currently has 10 active AI-related job listings. The majority of these roles, 60%, are focused on serving infrastructure. The top function for hiring is Engineering, with 7 positions. Frequent tech tags include model serving, inference infrastructure, and fine-tuning. Fireworks AI posted 1 new AI role in the last 30 days.
Currently tracking 10 active AI roles, up 17% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $170k–$240k (avg $202k).
Fireworks AI currently has 14 active AI-related roles in our index. The most common open titles are: Software Engineer, AI Infrastructure, AI Field Engineer - AI Natives, AI Field Engineer - Enterprise, AI Field Engineer - Microsoft Foundry, Applied Machine Learning Engineer. Most positions are in Engineering and Product.
Fireworks AI's active AI hiring is concentrated in: serving infrastructure (71%), application (7%), evaluation (7%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Fireworks AI is hiring AI talent in: United States (14 roles).
Job postings at Fireworks AI most frequently reference: model serving, inference infra, fine tuning, multimodal, evals.
In the past 30 days, Fireworks AI has posted 6 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| AI Product Engineer AI Product Engineer role focused on building the product surfaces and developer experience for a generative AI infrastructure platform. The role involves end-to-end ownership of features, working across the full stack (frontend, backend, APIs, data), and collaborating with various teams to translate platform capabilities into user-facing products. The company emphasizes fast iteration, high autonomy, and building at enormous scale. | ShipServe | 8 |
| Applied Machine Learning Engineer Applied Machine Learning Engineer role focused on developing, fine-tuning, and operationalizing ML models for customer applications and internal platform features. Involves customer collaboration, PoCs, application building, model enablement, and performance optimization. | ShipPost-train | 8 |