Job Description
You’ll be joining a small, high-impact data engineering team within Federato’s AI/ML organization. Our focus is on building the infrastructure and internal frameworks that empower machine learning engineers to develop, deploy, and iterate on AI-powered features ranging from prompt-based LLM workflows to more traditional model-driven systems. We collaborate closely with ML, analytics, and product teams to ensure data and tooling are reliable, scalable, and aligned with the needs of our AI-native platform.
Collaborate with Data Science, Product Managers and Software Engineers to build robust ETL pipelines that enable the Product Support team to deliver compelling user-facing features. Contribute to architecture decisions, observability tooling, and data quality initiatives that keep our platform robust and maintainable. Contribute to a scalable internal framework for managing prompt engineering pipelines and other AI workflows. Enforce and elevate engineering best practices across the AI/ML org, including code quality, testing, and documentation.
About Federato
Federato is on a mission to defend the right to efficient, equitable insurance for all and is the only AI-native platform that spans the full policy lifecycle.