17 days ago
Remote, United StatesSenior
Base Salary
$156k - $211k/yr
Responsibilities
- Partner with account leads and customer technical teams to scope, architect, and plan production deployments.
- Embed with customer data and engineering teams to integrate cloud and data platforms and build production-grade pipelines and trustworthy data products.
- Design and ship production LLM- and agent-powered systems, including retrieval, agentic workflows, data-quality agents, and analytics agents.
- Harden field implementations into reusable platform capabilities, including knowledge and grounding layers, agent frameworks, serving infrastructure, evaluation tooling, tracing, and developer tooling.
- Build clean interfaces and reusable components while incorporating field learnings into the shared platform.
Requirements
- 3+ years of experience building production software and data systems.
- Ability to architect solutions for ambiguous problems and messy data landscapes and implement them with production-grade code.
- Hands-on experience building and evaluating LLM and agent systems, including retrieval, RAG, and tool use.
- Strong data-engineering experience with production data pipelines, enterprise data modeling, and modern cloud data platforms such as Databricks, BigQuery, or Snowflake.
- Ability to work effectively with customer engineers and data teams, run working sessions, explain technical decisions, and build trust through delivery.
- Comfort regularly traveling to customer sites, approximately 10–20%.
- Experience in grocery, retail, or supply chain data; production knowledge graphs, ontologies, semantic layers, graph or vector stores, hybrid search, MCP, agent frameworks, MLOps, model serving, LLM observability, forward-deployed engineering, solutions or implementation engineering, or early-stage startups is preferred.
Benefits
- Medical, dental, and vision coverage for employees and families, with most premiums covered by Afresh, plus mental health support and counseling.
- Meaningful equity for U.S. employees and a 401(k) program with a generous company match.
- Remote or local-office work options, a home office stipend, and coworking wallets; eligible remote employees must reside in one of the listed states.
- Annual professional development budget.
- Monthly wellness/lifestyle and telecommunications stipends.
- Flexible paid time off.
- Full-time U.S. employees are eligible for the listed benefits.
Tech Stack
DatabricksGoogle BigQuerySnowflake
Categories
Forward Deployed
About Afresh
Afresh builds an AI-driven SaaS platform for grocery retailers that forecasts demand and optimizes ordering, inventory, and replenishment—especially for fresh departments—to cut waste and improve margins. It sells to enterprise grocers on a subscription basis with implementation and support services. Founded in 2017 and based in San Francisco, Afresh supports more than 12,500 departments across 40 U.S. states and counts Albertsons Companies, Meijer, Wakefern, and Stater Bros. as partners.