Senior Software Engineer, Machine Learning Platform

Design and build scalable ML and AI infrastructure on AWS, including model training, feature computation, real-time inference, foundation-model access, evaluation, and agentic orchestration. Build evaluation frameworks, observability, and governance for models and agents. Collaborate with data science and ML engineering teams to improve developer experience.

5+ years in ML/AI infrastructure or distributed systems; experience with AWS, Spark, Ray, CI/CD, Docker, Kubernetes; strong programming in Python, Go, Scala, or Java; knowledge of ML lifecycle, LLM patterns like RAG, tool calling, agent orchestration; solid software engineering fundamentals.