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. Work on distributed systems, cloud infrastructure, applied ML, and AI product engineering. Create secure, reliable platform capabilities for teams to choose from conventional predictive models to LLM-powered systems.

5+ years experience in ML or AI infrastructure, platform engineering, distributed systems, or production ML systems. Knowledge of ML lifecycle, distributed systems on AWS (Spark, Ray), LLM application patterns (RAG, agent orchestration), CI/CD, Docker, Kubernetes, strong programming in Python/Go/Scala/Java. Nice-to-have: experience with LLM-powered systems, model gateways, evaluation, GPU workloads.