Senior AI Field Engineer - Enterprise (Hybrid, US-based Remote-friendly)

AI Field Engineer (Enterprise)

📍 San Mateo, CA / New York, NY (Hybrid, US-based remote-friendly)

💼 Full-time

💰 Base Salary: $176,000 - $224,000

🎯 OTE: $220,000 - $280,000 + Equity

🛂 Visa Sponsorship Available (H-1B Transfers, TN; O-1 considered case-by-case)

About the Role

We're seeking an AI Field Engineer (Enterprise) with 3+ years of experience to partner directly with enterprise customers and transform complex GenAI challenges into production-ready systems.

This is a highly technical, customer-facing role that combines hands-on engineering, AI infrastructure expertise, and executive presence. You'll work across the entire customer lifecycle, from technical discovery and proof of concepts to production deployment.

What You'll Do

- Lead technical discovery sessions with enterprise customers

- Scope and execute proof of concepts (POCs), evaluations, and load testing

- Build end-to-end integrations and deploy production solutions inside customer environments

- Guide customers on model selection and fine-tuning strategies

- Advise on deployment architectures and scaling AI systems

- Navigate multi-stakeholder enterprise environments and build strong customer relationships

- Partner with internal product and engineering teams by sharing customer feedback and deployment insights

Required Qualifications

Experience

- 3+ years in AI/ML field engineering, Applied AI, Solutions Architecture, AI Infrastructure, ML Engineering, or Software Engineering with customer-facing experience

- Experience shipping AI/ML production code within customer environments

- Full pre-sales lifecycle experience including discovery, POC scoping, evaluations, load testing, and deployment

- Experience working at AI-native startups, AI infrastructure companies, MLOps companies, or enterprise SaaS organizations with strong AI products

Technical Skills

- Strong Python programming skills

- Kubernetes proficiency

- Hands-on experience with LLM inference and deployment

- Experience with serving frameworks such as vLLM, SGLang, or TensorRT-LLM

- Experience fine-tuning open-source models (SFT required, DPO/RFT preferred)

- GPU optimization experience for LLM workloads

- Cloud platform experience with AWS, Azure, or GCP

Soft Skills

- Excellent communication and executive presence

- Ability to present to both technical and business stakeholders

- Experience navigating complex enterprise organizations

- Strong customer relationship management skills

Preferred Tech Stack

- Python

- Kubernetes

- vLLM

- SGLang

- TensorRT-LLM

- AWS

- Azure

- GCP

- AWS Bedrock

- AWS SageMaker

- Azure AI Foundry

- GCP Vertex AI

- GPU Infrastructure

- Open-source LLM frameworks

Additional Requirements

- Willingness to travel domestically to enterprise customers as needed

- Hybrid schedule (Mon/Wed/Fri) for candidates located near San Mateo or New York office hubs

Compensation & Benefits

- Base Salary: $176K - $224K

- OTE: $220K - $280K

- Quarterly performance-based variable compensation

- Competitive equity package

- Visa sponsorship available

- Compensation based on experience level