Senior AI Platform Engineer

Requirements: Requires production-grade Python, platform engineering fundamentals, and production experience in at least one area: model serving, agentic infrastructure, or observability and experimentation. Candidates should understand transformers, LLM inference, experiment design, benchmarking, and model evaluation; have working familiarity with PyTorch and Hugging Face; and have experience owning production services, writing design documents, reviewing code, and mentoring or onboarding teammates.

Key Skills: Python, Platform Engineering, Distributed Systems, Kubernetes, CI/CD, LLM Inference, Model Serving, Agentic Infrastructure, Retrieval-Augmented Generation, Observability, Experiment Tracking, PyTorch, Hugging Face, Benchmarking, Model Evaluation, Production Reliability

Benefits: Health Insurance, Dental Insurance, Vision Insurance, 401(k) With 5% Matching, Uncapped Paid Time Off, Sick Leave, Public Holidays, Flexible Hybrid or Remote Work, Relocation Assistance #J-18808-Ljbffr