Inference and fine-tuning cloud for open-weights AI models
Fireworks AI runs a GPU-backed inference and model-tuning platform built on PyTorch, vLLM and SGLang across NVIDIA and AMD hardware, with Kubernetes spanning AWS, GCP and Azure. Listings on Azure Marketplace and ties to Azure AI Foundry point to hyperscaler co-selling. Hiring is engineering-heavy and senior-skewed, though velocity is slowing, and job posts flag a missing SecOps function and strained revenue accounting as the business scales.
Fireworks AI is a privately held company founded in 2022 and headquartered in San Mateo, California, with 51–200 employees. It offers a cloud platform for training, fine-tuning and serving open-weights large language models and other generative AI models for production workloads. Its customers are developers and companies building AI applications that need fast, low-latency inference. The team hires across the United States, United Kingdom and Singapore, spanning engineering, sales, marketing, product, operations and security.
Fireworks AI uses PyTorch, vLLM, SGLang, Python and Node.js on NVIDIA and AMD hardware, Kubernetes and Docker across AWS, GCP and Azure, plus BigQuery, dbt, MongoDB, Salesforce and NetSuite.
Fireworks AI is headquartered in San Mateo, California, and hires in the United States, United Kingdom and Singapore.
Yes. Engineering is the largest hiring area, mostly at senior and lead levels, followed by sales and marketing, though overall hiring velocity is decelerating.
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Fireworks AI's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.