AI Field Engineer (Enterprise)

AI Field Engineer (Enterprise)

Location: San Mateo, CA or New York, NY (Hybrid, Remote-Friendly within the U.S.)

Employment Type: Full-Time

Compensation: $176,000–$224,000 Base Salary + Quarterly Variable Compensation (OTE: $220,000–$280,000) + Equity

Visa Sponsorship: H-1B Transfers and TN Visas Available; O-1 Considered on a Case-by-Case Basis

About the Role

We're looking for an experienced AI Field Engineer to partner directly with enterprise customers and help transform complex Generative AI initiatives into production-ready solutions. You'll combine deep technical expertise with strong customer-facing skills, working closely with engineering teams and executive stakeholders to design, build, and deploy scalable AI systems.

This role is ideal for someone who enjoys solving challenging technical problems, building production AI applications, and leading customers from initial discovery through successful deployment.

What You'll Do

• Lead technical discovery sessions to understand customer requirements and define AI solution strategies.
• Scope and build proof-of-concept (POC) solutions and production-ready integrations within customer environments.
• Conduct model evaluations, benchmarking, load testing, and deployment validation.
• Advise customers on model selection, inference optimization, and fine-tuning strategies, including SFT, DPO, and RFT.
• Deploy and optimize open-source LLMs using modern serving frameworks.
• Navigate enterprise security requirements, procurement processes, and cross-functional stakeholder management.
• Partner with engineering teams by providing customer feedback to influence product development.
• Travel domestically as needed to support enterprise customer engagements.

Qualifications

Required Experience

• 3+ years of experience in a customer-facing AI/ML engineering role, such as:

  • AI Field Engineer
  • Applied AI Engineer
  • Forward Deployed Engineer
  • AI Solutions Architect
  • ML Solutions Architect
  • Machine Learning Engineer with customer-facing responsibilities

• Experience building and deploying production AI/ML applications within customer environments.

• Hands-on experience throughout the customer lifecycle, including discovery, POC development, technical evaluations, deployment, and production support.

• Previous experience at an AI-native startup, AI infrastructure company, MLOps platform, or enterprise SaaS organization with AI products.

Technical Skills

• Strong Python programming skills.

• Experience with Kubernetes and cloud platforms (AWS, Azure, or GCP).

• Hands-on experience with open-source LLMs and inference frameworks, including:

  • vLLM
  • SGLang
  • TensorRT-LLM

• Experience with LLM fine-tuning methodologies, including:

  • Supervised Fine-Tuning (SFT)
  • Direct Preference Optimization (DPO)
  • Reinforcement Fine-Tuning (RFT) (preferred)

• Understanding of GPU optimization and LLM inference performance.

• Comfortable working in Linux/terminal environments.

What We're Looking For

• Strong communication and presentation skills with both technical and executive audiences.
• Experience managing enterprise stakeholders across engineering, security, procurement, and leadership teams.
• Ability to balance technical depth with customer success in a fast-paced environment.

Preferred Qualifications

• Experience with AI infrastructure, MLOps, or developer tooling.
• Experience deploying large language models at scale.
• Familiarity with AI agents, evaluation frameworks, and enterprise AI architectures.
• Startup experience or experience working in fast-moving environments.

Candidates Who Are Not the Right Fit

This role is unlikely to be a match if you have:

• Experience limited to closed-model APIs (such as GPT or Claude APIs) without hands-on open-source model deployment.
• Pure consulting or advisory experience without building production AI systems.
• Pure software engineering experience without customer-facing or pre-sales responsibilities.
• Experience limited to large enterprise environments without startup or high-growth exposure.

Compensation & Benefits

• Base Salary: $176,000–$224,000
• On-Target Earnings (OTE): $220,000–$280,000
• Quarterly performance-based variable compensation
• Meaningful equity package
• Visa sponsorship available for qualified candidates
• Opportunity to work with cutting-edge Generative AI technologies and leading enterprise customers