AI Field Engineer (Enterprise)

Job Title: AI Field Engineer (Enterprise) - High Impact/High-Growth AI

Location: Hybrid (San Mateo, CA / New York, NY)

Experience: 3+ Years

About the Role We are looking for an AI Field Engineer (Enterprise) to embed with enterprise customers and transform complex Generative AI challenges into production systems fast. You will serve as the technical "tip of the spear," pairing deep hands-on engineering with the executive presence necessary to earn trust at the highest levels and drive deals from initial discovery to successful deployment.

If you are a builder who thrives in the intersection of cutting-edge AI research and customer-facing infrastructure, this is your opportunity to define the future of production-grade LLMs.

What You Will Be Doing

• Technical Leadership: Lead discovery calls, scope Proofs of Concept (POCs), and execute rigorous load testing and model evaluations to validate architecture and deployment configurations.
• Hands-On Deployment: Build end-to-end POCs and production integrations directly within customer environments, navigating complex infrastructure, security requirements, and organizational constraints.
• Strategic Guidance: Guide enterprise clients on model selection, fine-tuning strategies (SFT, DPO, RFT), and evaluation frameworks to move from exploration to production at scale.
• Relationship Management: Manage multi-stakeholder enterprise relationships, identify technical champions, navigate organizational dynamics, and align stakeholders to accelerate deal cycles.
• Feedback Loop: Act as a critical technical bridge, feeding recurring customer pain points and deployment patterns directly back into our product roadmap.

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Key Requirements

• Hands-On LLM Expertise: 3+ years of experience with open-model frameworks (e.g., vLLM, SGLang, TensorRT-LLM) and fine-tuning workflows (SFT is required; DPO/RFT experience is a strong plus). Note: Candidates whose experience is limited to closed-model API wrappers will not be considered.
• Production Experience: A proven track record of shipping production code inside a customer’s environment. You must have built and deployed systems that run in someone else’s production stack.
• Technical Stack: Strong Python proficiency, extensive GPU/cloud infrastructure experience (AWS, Azure, or GCP), and deep comfort with Kubernetes.
• Field Engineering DNA: Previous experience in pre-sales or customer-facing field engineering (e.g., Applied AI Engineer, Solutions Architect, FDE).
• Communication: Exceptional executive presence; capable of conducting a technical deep-dive with an ML Engineer and presenting architecture trade-offs to a VP in the same afternoon.

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Compensation & Benefits

• Base Salary: $176,000 – $224,000
• OTE: $220,000 – $280,000 (Quarterly performance-based variable)
• Equity: Competitive equity package included.
• Visa: H-1B transfers and TN visas are sponsored; O-1 considered on a case-by-case basis.
• Work Mode: Hybrid (US-based, remote-friendly). Office hubs in San Mateo, CA, and New York, NY.