6 days ago
Base Salary
$169k - $253k/yr
Responsibilities
- Design and operate knowledge graphs and ontologies representing relationships in grocery data.
- Build vector, graph, and structured retrieval systems that provide reliable context to models.
- Develop LLM-powered agents with tool use, multi-step reasoning, orchestration, and reliable serving infrastructure.
- Create reusable platform tools, abstractions, and interfaces for other engineers and AI products.
- Establish evaluation sets, LLM-as-judge harnesses, tracing, observability, and metrics for faithfulness, accuracy, hallucination rate, latency, and cost.
- Build pipelines, data products, and experimentation systems using Databricks and MLflow to take AI systems from prototype to production.
- Partner with field AI engineers to harden successful solutions into reusable capabilities.
Requirements
- 5+ years of experience building production software, data, or ML systems.
- Strong software engineering, systems design, and API design skills with Python.
- Hands-on production experience with LLM retrieval/RAG, agents, tool use, prompt and context engineering, and evaluation.
- Solid data engineering and data platform foundations, including pipelines, data modeling, Databricks/Spark, MLflow, and cloud warehouses.
- Ability to manage retrieval quality, latency, cost, and nondeterminism while building trustworthy guardrails and evaluations.
- Platform-oriented approach with clean interfaces and comfort working in ambiguous, fast-moving environments.
- Preferred experience with production knowledge graphs, ontologies, semantic layers, graph databases, vector stores, hybrid search, MCP, LangGraph, MLOps, model serving, and LLM experimentation or observability tooling.
- Experience in grocery, retail, or other complex enterprise data domains is a plus.
Benefits
- Hybrid San Francisco office role requiring three days per week in the office; some employees may work remotely if located in an eligible state.
- Medical, dental, and vision coverage for employees and families, with most premiums covered, plus mental health support and counseling.
- Meaningful equity for U.S. employees and a 401(k) program with generous company matching.
- Home office stipend and coworking wallets for flexible workspace access.
- Annual professional development budget.
- Monthly wellness/lifestyle and telecommunications stipends.
- Flexible paid time off.
- The position is not eligible for company sponsorship.
Tech Stack
Categories
About Afresh
Afresh is the AI platform for Grocery — built for how grocery actually operates, from the fresh perimeter to center store and retail to distribution centers. The Afresh platform helps grocers make smarter decisions about what to buy, order, produce, and sell across the entire operation, delivering higher profits, less waste, and fresher food on the shelf. Founded in 2017 with the mission to eliminate food waste and make fresh food accessible to all, Afresh today supports more than 12,500 departments across 40 states, partnering with Albertsons Companies, Stater Bros., Meijer, Wakefern, and more. Learn more at www.afresh.com.