AI Field Engineer - Enterprise
Core
Embed with enterprise customers to build production GenAI systems, architect inference foundations, and guide model strategy.
Role type
Senior IC AI Field Engineer (Enterprise)
Builds
End-to-end POCs, MVPs, and production integrations for large organizations adopting GenAI
Domain
Generative AI infrastructure, LLM inference, and enterprise software deployment
Deliverable
production ML models
Required skills
Python, Kubernetes, LLM inference trade-offs, model serving, fine-tuning workflows (SFT), cloud infrastructure (AWS/Azure/GCP), GPU deployment
Preferred skills
Inference serving frameworks (vLLM, SGLang, TensorRT-LLM), agentic systems, hyperscaler AI platforms, POC-to-production track record
Technologies
vLLM, SGLang, TensorRT-LLM, AWS, Azure, GCP, Kubernetes
Responsibilities
Build end-to-end POCs and MVPs inside customer codebases; Architect inference foundations and size deployments for scale; Run load tests and tune deployments for latency/throughput/cost; Guide customers on model selection, fine-tuning strategy, and evaluation methodology; Lead discovery conversations and own technical relationships from engagement to production; Identify recurring pain points and translate them into product proposals
Seniority
Senior, hands-on IC
