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AI Field Engineer (Enterprise)

United States
Full Remote Visa Sponsorship
This Job is No Longer Active This position is no longer accepting applications

We are looking for an AI Field Engineer (Enterprise) with 3+ years of experience to embed with enterprise customers and turn complex GenAI challenges into production systems. The role requires deep hands-on experience with LLM inference and/or training, and proven ability to ship production code inside a customer's environment. The ideal candidate will have executive presence and enterprise navigation skills.

Key Highlights
Lead technical discovery calls
Build end-to-end POCs and production integrations
Manage multi-stakeholder enterprise relationships
Key Responsibilities
Lead technical discovery calls
Build end-to-end POCs and production integrations
Manage multi-stakeholder enterprise relationships
Guide customers on model selection, fine-tuning strategy, and evaluation frameworks
Feed recurring customer pain points and deployment patterns back into the product roadmap
Technical Skills Required
LLM serving frameworks Python Kubernetes GPU optimization TensorRT-LLM SGLang vLLM
Benefits & Perks
$176K - $224K Base
OTE: $220K - $280K
Variable component paid quarterly based on individual and team performance
Meaningful equity included on top of OTE
Competitive equity
Visa Sponsorship
H-1B transfers and TN visas sponsored
O-1 considered on a case-by-case basis
Remote Work Policy
US-based, remote-friendly
Nice to Have
GPU optimization for LLM workloads
Soft Skills: Demonstrated executive presence in enterprise customer-facing roles

Job Description

  • Employment Type: Full-time
  • Work Mode: Hybrid (US-based, remote-friendly)
  • Location: San Mateo, CA / New York, NY
  • Compensation: $176K - $224K Base (OTE: $220K - $280K)
  • Seniority: 3+ Years Experience
3+ years of experience in customer-facing AI/ML field engineering (FDE, Applied AI, Solutions Architect, AI Infra, ML Engineer, Software Engineer with pre-sales exposure, or research backgrounds transitioning to customer-facing roles).
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