Data Engineer — AI & Data Infrastructure

Data Foundation & Migration:

• Lead the data engineering work for our research portal migration.
• Build and maintain ETL/ELT pipelines across multiple integration points.
• Design and implement our “Golden Record” initiative.

AI-Native Data Infrastructure (RAG & Search):

• Design and build production-grade RAG pipelines over AGCO’s research archive.
• Implement hybrid search approaches that combine semantic (vector) search with keyword and metadata filtering.
• Evaluate and implement emerging retrieval strategies as the space evolves.

DevOps & Data Infrastructure:

• Apply DataOps practices across all pipelines.
• Monitor pipeline health, embedding freshness, retrieval quality, and LLM call latency.
• Work within our AWS environment and contribute to IaC best practices.