Principal AI Enablement Engineer
Core
Senior technical authority for building and operating an on-premises AI and Large Language Model (LLM) platform, ensuring safe and reliable implementation of AI capabilities throughout the company.
Role type
Principal AI Enablement Engineer (Infrastructure & LLM Platform)
Builds
Production LLM inference platforms, AI-assisted software engineering capabilities, and secure AI workflows for internal data and code.
Domain
Internet Infrastructure / Enterprise AI / LLM Operations
Deliverable
production ML models
Required skills
Linux systems engineering, distributed systems, container orchestration, Python/Go/C++, LLM inference concepts, CI/CD, infrastructure-as-code, model evaluation methodologies, secure AI integration
Preferred skills
GPU/accelerator computing, LLM inference engines (vLLM, TensorRT-LLM), RAG/vector search, Agentic AI systems, Model Context Protocol (MCP), open-weight LLM lifecycle management, enterprise authentication/authorization
Technologies
Python, Go, C/C++, Linux, Kubernetes, llama.cpp, vLLM, Ollama, TensorRT-LLM, MCP
Responsibilities
Design and operate production LLM inference platforms; develop repeatable evaluation methodologies for model quality; collaborate with security teams on secure AI mechanisms for proprietary data; create AI-assisted software engineering capabilities (coding agents, tool use); mentor engineers and lead technical initiatives; prototype new AI capabilities and convert to production services.
Seniority
Principal, hands-on technical leadership