[Remote] Fireworks AI - AI Field Engineer - Enterprise

Note: The job is a remote job and is open to candidates in USA. Fireworks AI is hiring an AI Field Engineer to help enterprise customers turn complex generative AI challenges into production systems. The role leads technical discovery, builds and deploys proofs of concept and production integrations, advises on model selection and fine-tuning, and feeds customer needs into the product roadmap.

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

Skills

• AI Field Engineer (Enterprise) with 3+ years of experience
• 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)
• 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

Benefits

• Meaningful equity on top of OTE
• US-based, remote-friendly
• H-1B transfers and TN sponsored; O-1 case-by-case

Company Overview

Company H1B Sponsorship