Skills
Data Engineering
RAG Pipelines
Agentic Workflows
About the Role
Babylist’s Data team helps power decisions across product growth, operations, and AI. As a Senior Data Engineer, you’ll be a senior individual contributor on Data Engineering—focused on building the architecture and systems that make data engineering more scalable, including the pipelines, harnesses, and agentic scaffolding that can generate, test, and maintain them.
You’ll collaborate with analysts, data scientists, and product teams to keep Babylist’s data infrastructure dependable and aligned with where the business is headed.
Responsibilities
- Design and build production-grade AI/LLM data systems such as RAG pipelines and agentic workflows
- Create and maintain tool integrations (e.g., MCP servers) that support real user experiences
- Apply platform thinking to turn repetitive data engineering tasks into reusable system design patterns
- Partner cross-functionally to ensure data infrastructure reliability, performance, and scalability
- Develop and support scaffolding that helps generate, validate, and maintain data engineering components
Requirements
- Proven experience building production AI/LLM systems (not just prototypes)
- Hands-on experience with RAG pipelines, agentic workflows, and tool integrations
- Strong platform mindset—comfortable designing systems rather than only implementing one-off pipelines
- Ability to work effectively with analytics, data science, and product stakeholders
Benefits
- Work on high-impact data and AI initiatives that influence the entire business
- Collaborate with cross-functional teams to deliver reliable, next-generation data infrastructure
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