AI Field Engineer - Enterprise

📋 Description

• Build end-to-end POCs and MVPs with customer teams in their codebase.
• Architect inference foundations and scalable deployments for customers.
• Run load tests; establish latency, throughput, and cost baselines.
• Deploy and validate new model families on inference frameworks (vLLM, SGLang).
• Lead discovery conversations and translate pain points into improvements.
• Spend time on-site with customers and build trust in person.

🎯 Requirements

• 5+ years in hands-on, customer-facing technical roles.
• Shipped production code in a real production environment.
• Strong Python; comfortable with Kubernetes and infra engineering.
• LLM stack knowledge: inference, serving, and fine-tuning (SFT; DPO/RFT a plus).
• Experience with cloud infra (AWS, Azure, GCP) and GPU deployments.
• Exceptional communication: discovery calls, VP presentations, latency debugging.

🎁 Benefits

• Equity in a fast-growing startup.
• Comprehensive benefits package.
• Flexible remote/hybrid work options.
• Work with world-class AI engineers and researchers.
• On-site collaboration with enterprise customers.
• Opportunity to influence product roadmap at scale.