Fireworks AI - AI Field Engineer - Enterprise

deCircle•San Mateo, CA
•$176,000 - $280,000•Remote

About The Position

AI Field Engineer (Enterprise) with 3+ years of experience to embed with Fireworks AI's most ambitious enterprise customers and turn complex GenAI challenges into production systems, fast. The technical tip of the spear, pairing deep hands-on engineering with executive presence to drive deals from first discovery call to production deployment.

Requirements

  • Deep hands-on experience with LLM inference and/or training; working knowledge of open-model frameworks (vLLM, SGLang, TensorRT-LLM) and fine-tuning (SFT minimum; DPO/RFT a strong plus). Closed-model/API-wrapper-only experience will not clear the bar
  • Proven ability to ship production code inside a customer's environment (built and deployed POCs/MVPs in someone else's prod), not just advisory work
  • Strong Python plus GPU/cloud infrastructure (AWS, Azure, or GCP) and comfort with Kubernetes
  • Executive presence and enterprise navigation: deep-dive with an ML engineer and present trade-offs to a VP the same day
  • Pre-sales or customer-facing field engineering experience (FDE, Applied AI Engineer, Solutions Architect, or similar); pure SWEs without customer-facing exposure are not a fit
  • 3+ years in client-facing AI/ML roles

Nice To Haves

  • DPO/RFT fine-tuning experience

Responsibilities

  • Lead technical discovery calls, scope POCs, and run load tests and evaluations to validate the right model architecture and deployment configuration for each enterprise customer
  • Build end-to-end POCs and production integrations hands-on-keyboard inside customer environments, navigating their infrastructure, security requirements, and organizational constraints
  • Guide customers on model selection, fine-tuning strategy (SFT, DPO, RFT), and evaluation frameworks, moving them from open-model exploration to production at scale
  • Manage multi-stakeholder enterprise relationships: identify technical champions, navigate org politics, and align the right people to move deals forward quickly
  • Feed recurring customer pain points and deployment patterns back into the product roadmap

Benefits

  • Meaningful equity on top of OTE
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