[Hiring] AI Field Engineer @deCircle

Role Description

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.

• 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.

Qualifications

• 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.

Requirements

• Location: US-based, remote-friendly; offices in San Mateo, CA and New York, NY; regular on-site travel to enterprise customers.
• Visa: H-1B transfers and TN sponsored; O-1 case-by-case.

Benefits

• Compensation: $176,000-$224,000 base; OTE $220,000-$280,000 (80/20 base/variable, variable paid quarterly).
• Candidates with 10+ years may be considered above range.
• Meaningful equity on top of OTE.

Company Description

Fastest way to build, tune and scale AI on open models; high-performance GenAI inference platform powering Uber, DoorDash, Notion, Cursor. Founded by Meta PyTorch and Google Vertex AI veterans. 211 employees, founded 2021, $1.5B total funding.