Senior AI Platform Engineer

Job Description

Own platform components from design through production operation, building and maintaining services for model serving, agentic infrastructure, observability, or experimentation. Debug production issues, write and review tested code and design documents, collaborate with internal customers, and run benchmarks or experiments to inform platform decisions.

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