AI Engineer

• Improve retrieval quality and answer grounding across our content corpus
• Build evaluation harnesses so answer quality is measured, not argued about
• Cut hallucination rates and make refusals honest rather than evasive
• Keep inference fast and cost-sane at student scale
• Work with Content to turn subject expertise into better grounding data

Requirements

• 2+ years shipping ML or LLM features to real users
• Hands-on with embeddings, vector stores and retrieval pipelines
• Rigour about evaluation — you measure before and after, always
  • Strong Python; comfortable in a TypeScript codebase