Senior AI Platform Engineer

Own and operate AI platform components, such as model-serving systems, agent infrastructure, and observability and experimentation tools, from design through production. Build reliable, tested services, troubleshoot production issues, collaborate with internal teams, and run benchmarks or experiments to inform platform decisions.

Requirements: Requires production-grade Python and platform engineering experience, plus production experience in at least one area: model serving, agentic infrastructure, or observability and experimentation. Candidates should understand LLMs and AI research fundamentals, have experience operating production services, and be able to write design documents, review code, and mentor or onboard teammates.

Key

Skills:

Python, Platform Engineering, Distributed Systems, Kubernetes, CI/CD, LLM Inference, Model Serving, Agentic Systems, 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