# Staff Forward Deployed Engineer at Afresh

Afresh is hiring a Staff Forward Deployed Engineer to bridge the gap between cutting-edge AI development and real-world enterprise deployment. You'll split your time embedded with major grocery retailers—architecting data solutions, building production LLM and agent systems, and integrating into their cloud platforms—then return to headquarters to productize those learnings into reusable platform tooling that scales across customers. The role is structured around a flywheel: field insights directly inform platform improvements, which accelerate the next deployment.

This is a senior, hands-on position suited for someone with 5+ years shipping production software and data systems who genuinely enjoys both customer-facing technical leadership and deep infrastructure work. You'll need proven expertise building LLM and agent applications (RAG, tool-use, agentic workflows), strong data engineering chops in modern cloud platforms like Databricks or Snowflake, and the architectural skill to turn messy enterprise data into clean, trustworthy systems. The defining requirement is range: you must thrive switching between field deployment and platform building without losing momentum in either mode.

Based in San Francisco, the role involves regular travel to customer sites (10-20% of the time). Background in grocery, retail, or supply chain data is a bonus, as is hands-on experience with knowledge graphs, ontologies, or vector databases in production environments.

Location: San Francisco, CA

Apply: https://getfoundi.com/apply/staff-forward-deployed-engineer-afresh-4b3b1a77

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