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Fireworks AI - AI Field Engineer - Enterprise

Role overview

Qualifications

  • 3+ years of experience in a related field
  • Experience with end-to-end POCs and production integrations
  • Familiarity with GenAI challenges and model deployment

Responsibilities

  • Lead technical discovery calls and scope POCs
  • Build end-to-end POCs and production integrations
  • Guide customers on model selection and fine-tuning strategy
  • Manage multi-stakeholder enterprise relationships

Key facts

Hard skills

Other skills

  • Communication
  • Teamwork
  • Problem Solving

About the company

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decircle

  • Staffing & Recruiting
  • 1–1
We partner with disruptive organizations to help identify and attract talent. A boutique recruitment agency that focuses on blockchain and web3. We enjoy networking with Web3 and decentralization enthusiasts and help them find their place in the decentralized world.

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Job description

Source: Paraform - https://www.paraform.com/share/fireworks-ai/cmqh2zxn100020bkp395s3lwj

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.

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.

About this role

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.

What will you be doing?

  • 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

Team

Field engineering team led by Roberto Barroso Luque (ex-BCG X); flat, low-ego, extreme ownership; no seniority title distinctions; arrogance screened out; client-facing by week 1-2; engineers push PRs to the Fireworks codebase.

Tech stack

Python, vLLM, SGLang, TensorRT-LLM, Kubernetes, AWS, Azure, GCP, Azure AI Foundry, AWS Bedrock, AWS SageMaker, GCP Vertex AI, LLM Fine-Tuning (SFT, DPO, RFT), GPU Infrastructure

About Fireworks AI

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.

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