Afresh

Staff Forward Deployed Engineer

San Francisco, CA · Staff+ · Full-time

Sponsorship not specified$169k-$273kDetected 7 days ago

BigQuerySnowflakeDatabricksVector DatabasesMachine LearningData EngineeringLLMsRAGMLOpsLangGraphSupply ChainAR/VRResearch

About the role

Here you do both - and that's the point.
You'll spend dedicated time in the field - embedded with a customer, integrating into their data, shipping AI systems on top of it - and dedicated time on the platform, turning what you just learned into reusable tooling the whole team deploys next.
This is senior, hands-on, 0-to-1 work in a space with no playbook.

Partner with Afresh's account lead and the customer's technical teams to scope and architect the work - the data sources, the architecture, and the path to production.
build production-grade pipelines and model messy enterprise data into trustworthy data products.
Design and ship LLM- and agent-powered systems on that data - retrieval, agentic workflows, data-quality and analytics agents - reliable enough to run in production, not just to demo.
On the platform (building the house you live in)
Build the evals, tracing, and tooling that let the team measure quality - accuracy, hallucination rate, latency, cost - and ship faster on the next customer.
Build for leverage: clean interfaces and reusable building blocks, not one-off per-customer code.
Own the flywheel: field learnings flow straight into the platform, and platform improvements show up at the next customer.

Experience in grocery, retail, or supply chain data domains.
Knowledge graphs, ontologies, or semantic layers in production
MCP or similar tool/context protocols
agent frameworks (e.g., LangGraph)
MLOps, model serving, and observability for LLM systems.
Prior forward-deployed, solutions, or implementation engineering - or early-stage startup experience navigating rapid customer expansion.
We're a mission-driven company that eliminates hundreds of millions of pounds of food waste in grocery stores every year - your work has direct, visible impact.
Senior team, high trust, and real ownership at a pivotal inflection point for how Afresh scales.

Salary Band in U.S. (USD): $168,912-$273,368 + meaningful early-stage equity + benefits

Comprehensive medical, dental, and vision coverage for you and your family, with the majority of premiums covered by Afresh.
We also provide dedicated mental health support and counseling services.
Competitive base salary, meaningful equity (U.S. employees), and a 401(k) program with a generous company match.
Whether you work from home or a local office, we support your setup with a home office stipend and "Coworking Wallets" for flexible workspace access.
Beyond your paycheck, we provide monthly stipends for "Betterment" (wellness/lifestyle) and telecommunications to ensure you have what you need to thrive.
Full-time U.S. employees are eligible for these benefits

We believe in continuous learning.
Every employee receives an annual professional development budget to master new skills and grow their career at Afresh.
As a Forward Deployed AI Engineer, you're part of a single team that both delivers Afresh's AI into enterprise grocery customers and builds the platform that makes that delivery fast.
Be part of an engineering culture that's genuinely AI-forward - we want to be on the bleeding edge of agentic development, not watching from the sidelines.

This listing is sourced directly from Afresh's careers page and normalized into a canonical job model.