Fireworks AI
AI Field Engineer - AI Natives
$200K–$260K
San Mateo +1 · Hybrid · Full-time · Posted Jun 9, 2026
- Location
- San Mateo
New York - Experience
- 5+ years required; 10+ years preferred.
About the job
Embeds with AI-native customers to build, fine-tune, deploy, and scale production AI systems while informing Fireworks’ product roadmap.
What you'll do
- Build customer POCs, MVPs, and production integrations; architect and tune inference deployments.
- Advise on model selection, fine-tuning, and evaluation, and run customer fine-tuning pipelines.
- Lead customer discovery and technical relationships, work on-site, and relay recurring needs to product and engineering teams.
What they ask for
- 5+ years in a hands-on, customer-facing technical role.
- Demonstrated ability to ship production software in a customer’s environment.
- Strong Python skills; familiarity with Kubernetes and infrastructure engineering.
- Experience with cloud infrastructure and GPU model deployment; working knowledge of LLM inference, serving, and fine-tuning (SFT minimum); experience building or integrating agentic systems, tool-use chains, or AI-native developer toolchains.
Nice to have
- 10+ years in technical field or engineering roles.
- Experience with vLLM, SGLang, TensorRT-LLM, forward-deployed engineering, AI-native companies, production-scale GenAI, or hyperscaler AI platforms.
Pay
USD $200K – $260K base salary
Tools
Python, Kubernetes, AWS, Azure, GCP, vLLM, SGLang, TensorRT-LLM
AI focus
Build and deploy AI-native products and inference systems; guide model selection, fine-tuning (SFT, DPO, RFT), evaluation, and agentic integrations.
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