Fireworks AI
AI Field Engineer - Enterprise
$200K–$260K
San Mateo +2 · Hybrid · Full-time · Posted Jun 11, 2026
- Location
- San Mateo
New York
United States, Remote - Experience
- 5+ years required; 10+ years preferred.
About the job
Build and deploy production AI systems for enterprise customers, combining hands-on engineering with customer engagement and product feedback.
What you'll do
- Build customer POCs, MVPs, and production integrations; architect, test, and tune inference deployments.
- Advise on model selection, fine-tuning, and evaluation, and build fine-tuning pipelines with customers.
- Lead customer discovery and technical relationships, spend time on-site, and relay product needs to engineering and product teams.
What they ask for
- 5+ years in a hands-on, customer-facing technical role.
- Demonstrated ability to build production software with customers and ship code in another organization’s production environment.
- Strong Python skills; familiarity with Kubernetes and infrastructure engineering.
- Experience with cloud infrastructure (AWS, Azure, GCP) and deploying models on GPU infrastructure; working knowledge of the LLM stack and fine-tuning workflows (SFT at minimum).
Nice to have
- 10+ years in technical field or engineering roles.
- Experience with inference serving frameworks (vLLM, SGLang, TensorRT-LLM), hyperscaler AI platforms, or taking GenAI POCs to production scale.
Pay
$200K – $260K (base salary)
Tools
Python, Kubernetes, AWS, Azure, GCP, vLLM, SGLang, TensorRT-LLM
AI focus
Deploy and tune AI inference systems; guide model selection, fine-tuning (SFT, DPO, RFT), and evaluation; build production GenAI solutions for enterprise customers.
Model-written summary · the original posting is authoritative