17 days ago
Remote, United StatesStaff+
Base Salary
$169k - $253k/yr
Responsibilities
- Partner with account leads and customer technical teams to scope and architect data sources, system architecture, and production delivery plans.
- Embed with customer data and engineering teams to integrate cloud and data platforms, build production-grade pipelines, and model messy enterprise data into trustworthy data products.
- Design and ship production LLM- and agent-powered systems using retrieval, agentic workflows, data-quality agents, and analytics agents.
- Harden field solutions into shared platform capabilities, including knowledge graphs, ontologies, retrieval, agent frameworks, and serving infrastructure.
- Build evaluation, tracing, and tooling systems to measure accuracy, hallucination rate, latency, and cost.
- Create clean interfaces and reusable building blocks while owning the feedback loop between customer deployments and platform improvements.
Requirements
- 5+ years of experience building production software and data systems.
- Ability to design and build practical solutions for ambiguous problems and messy data environments.
- Production experience building AI/LLM systems with agents, retrieval/RAG, tool use, and quality evaluation.
- Strong data-engineering experience with 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 earn trust through delivery.
- Comfort switching between customer-facing implementation work and reusable infrastructure development.
- Experience with knowledge graphs, ontologies, semantic layers, graph or vector stores, hybrid search, MCP or similar protocols, agent frameworks, MLOps, model serving, or LLM observability is preferred.
- Experience in grocery, retail, supply-chain data, forward-deployed engineering, solutions or implementation engineering, or early-stage startups is preferred.
Benefits
- Comprehensive medical, dental, and vision coverage for employees and families, with most premiums covered, plus mental health support and counseling.
- Meaningful early-stage equity and a 401(k) program with a generous company match.
- Home office stipend, coworking wallets, and support for working from home or a local office.
- 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.
- Many employees work remotely, provided they reside in one of the listed eligible states.
- Regular travel to customer sites is expected at approximately 10–20%.
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.