Key Responsibilities

• Design and implement data pipelines for AI and analytics use cases

• Support AI workflows, including RAG and GraphRAG and Vector databases

• Knowledge and data collection frameworks

• Focus on data preparation and labelling, including:

• Designing labelling workflows

• Automating data preparation processes

• Work closely with AI/ML teams on:

• Fine‑tuning readiness

• Labelled dataset creation

• Leverage AI‑assisted developer tools in day‑to‑day work

Required Skills & Experience

• Strong data engineering fundamentals

• Experience with AI data pipelines and Vector databases

• Workflow‑based AI architectures

• Understanding of data labelling and preparation for ML / AI

• Familiarity with modern AI‑assisted coding tools (e.g., Cursor, Windsurf)

• Strong problem‑solving and collaboration skills