Staff AI Platform Engineer

Afresh is an AI platform for grocery that aims to reduce food waste through innovative technology. As a Staff AI Platform Engineer, you will build the AI and data platform that powers Afresh's products, focusing on creating a reliable knowledge and retrieval layer for grocery data.

Responsibilities:

• Design and operate the knowledge graph and ontology that capture how grocery data relates
• Build the retrieval systems (vector, graph, and structured) that feed the right context to our models — so grounding is reliable, not lucky
• Build LLM-powered agents (tool-use, multi-step reasoning, orchestration) and the serving infrastructure to run them reliably and cost-effectively
• Build the tools, abstractions, and interfaces other engineers depend on — a platform, not one-off features
• Stand up eval sets, LLM-as-judge harnesses, tracing, and observability, plus the metrics (faithfulness, accuracy, hallucination rate, latency, cost) that tell us whether a change helped or hurt
• Build the pipelines, data products, and experimentation on Databricks/MLflow that take work from prototype to production — and partner with the engineers deploying our AI in the field to harden what works into reusable capabilities