AI Field Engineer Enterprise

Company: Fireworks AI
Location: US-based remote-friendly (offices in San Mateo CA and New York NY); regular travel to enterprise customers
Compensation: $176000 - $224000 base (OTE $220000 - $280000) competitive equity
Employment Type: Full-time
Visa Sponsorship: H-1B transfers and TN; O-1 case by case

Fireworks AI is a generative AI inference and fine-tuning platform that runs production workloads for companies including Uber DoorDash Notion and Cursor. It was founded by veterans of Metas PyTorch team and Google Vertex AI.

Founded in 2021 Fireworks has about 200 people has surpassed $1B in ARR and raised a Series D in 2026 at a $17.5B valuation backed by Index Ventures TCV and NVIDIA among others.

Fireworks AI is hiring AI Field Engineers (3 years) to embed with its most ambitious enterprise customers and turn complex generative AI challenges into production systems fast. You will be the technical tip of the spear pairing deep hands-on engineering with the executive presence to earn trust across large organizations and carry deals from first discovery call to production deployment.

• Lead technical discovery scope POCs and run load tests and evaluations to choose the right model architecture and deployment configuration.
• Build end-to-end POCs and production integrations hands-on inside customer environments working within their infrastructure security and organizational constraints.
• Guide customers on model selection fine-tuning strategy (SFT DPO RFT) and evaluation moving them from open-model exploration to production at scale.
• Manage multi-stakeholder enterprise relationships: find technical champions and align the right people to move deals forward.
• Feed recurring customer pain points and deployment patterns back into the product roadmap.

• 3 years in client-facing AI/ML roles (forward deployed solutions architect applied AI sales or customer engineering)
• Shipped AI/ML production code inside a customers environment not only advisory work
• Deep hands-on LLM inference and fine-tuning: open-model serving frameworks (vLLM SGLang TensorRT-LLM) and SFT at minimum
• Owned the pre-sales field cycle end to end: discovery POC scoping evals and model selection
• Strong Python plus GPU/cloud infrastructure (AWS Azure or GCP) and Kubernetes
• Experience at an AI-native or AI-infrastructure startup or building AI features in enterprise SaaS
• Executive presence with enterprise customers; willing to travel domestically

• DPO or RFT fine-tuning experience
• Hyperscaler AI experience (Bedrock SageMaker Vertex AI Azure AI Foundry)
• Navigating enterprise organizations end to end

Take-home assignment recruiter screen (30 min) culture and live coding (1 hour) discovery and hiring manager (45 min) on-site final loop (about 2 hours) executive interview (30 min).

Python vLLM SGLang TensorRT-LLM Kubernetes AWS Azure GCP Bedrock SageMaker Vertex AI LLM fine-tuning (SFT DPO RFT) GPU infrastructure

REVENUE: 20% of first-year salary. Est. fee per hire $35K-$45K; 9 seat(s) up to $360K if all filled.

TARGET COMPANIES (suggested): Together AI Baseten Databricks Anyscale Modal Hugging Face Scale AI.

BEST-FIT CANDIDATE: 3 yrs; open-model inference fine-tuning hands-on; shipped code in customer prod; pre-sales field cycle ownership; visa: H-1B transfer TN; O-1 case by case; location: US remote travel. Avoid closed-model API wrappers only big-tech-only consulting-only chip-company-only legacy enterprise with no AI work 1yr stints.