Skills
Data Engineering
AI/LLM Systems
RAG Pipelines
About the Role
Join Babylist’s Data Engineering team as a senior individual contributor, helping power data-driven decisions across product, operations, and AI. In this role, you’ll design and evolve the architecture and systems that make data engineering more scalable—covering not only pipelines, but also the harnesses and “agentic” scaffolding that generates, tests, and maintains them.
You’ll collaborate closely with analysts, data scientists, and product teams to ensure our data infrastructure remains reliable, maintainable, and aligned with where the business is headed.
Responsibilities
- Own the design and evolution of data engineering systems and supporting infrastructure
- Build and productionize AI/LLM workflows, including RAG pipelines and agentic task flows
- Develop tool integrations (such as MCP-style server integrations) that support real user use cases
- Turn recurring data engineering tasks into reusable system designs and automated components
- Partner cross-functionally to improve data reliability, performance, and maintainability
Requirements
- Proven experience building production AI/LLM systems (e.g., RAG pipelines, agentic workflows, tool integrations)
- Strong platform mindset—ability to identify repeatable patterns and convert them into scalable system designs
- Experience working with cross-functional partners such as analysts, data scientists, and product teams
Benefits
- Work on AI-native data engineering challenges that impact the whole business
- Collaborate with a team focused on reliability, scalability, and long-term maintainability
- Opportunity to shape how data engineering is built, tested, and operated
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