Senior Python Engineer - ML Infrastructure

We're partnered with a fully remote, rapidly growing AI startup building large-scale ML systems - and they're looking for a Senior Python Engineer to join their team and help power high-performance inference and Back End infrastructure.

What they're looking for:

Strong Python development experience, especially with FastAPI and the ASGI ecosystem for building fast, scalable API Hands-on knowledge of event-driven systems, including pub/sub messaging and distributed task queues (eg, Celery) Understanding of model serving patterns (REST, gRPC, async batching) and experience managing large-scale inference pipelines in production Familiarity with SQL/NoSQL databases, and integrating with cloud platforms like Snowflake or Databricks Experience with state management, session handling, and efficient data flows across distributed applications Bonus if you've worked with the Kubernetes ecosystem for scalable ML deployment Experience with monitoring, logging, and observability in production systems Understanding of authentication protocols and security best practices Exposure to data visualization tools for presenting model outputs Previous experience supporting tabular ML models or similar ML deployments