Afresh

AI platform for grocery

Full-StackEngineer-ProductionPlanning

$130–195k United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Full-Stack Engineer - Production Planning at Afresh. Skills: Full-Stack Engineering, AI Platform Development, Production Planning Systems. Build and ship high-quality applications to optimize in-store operations and decision-making. Support thousands of grocery stores on their critical fresh food supply chains across the US”

What You'll Achieve.

optimize in-store operations and decision-making; Support thousands of grocery stores on their critical fresh food supply chains across the US; deliver a great product experience; understand our system behavior and make informed decisions; Ensure the quality of our software; drive new feature development; contribute to the team's growth; minimize waste and maximize sales

Industry & Context.

AI platform for grocery
Problems you'll solve

logic; data; user experience intersect to solve global waste issues

Eligibility Requirements

This position is not eligible for company sponsorship.

What They're Looking For.

Must Have

2+ years of full-stack web development experience, proven track record of building and maintaining production-level APIs and applications, Professional-level proficiency in TypeScript (or JavaScript), Experience building & maintaining production-level APIs and applications

Nice to Have

Frontend: React, Backend/Data: Python, PostgreSQL, GraphQL, DBT, or Databricks

What You'll Do.

Build and ship high-quality applications to optimize in-store operations and decision-making

Support thousands of grocery stores on their critical fresh food supply chains across the US

Build out our analytics and monitoring/observability to understand our system behavior and make informed decisions

Ensure the quality of our software via automated tests

and solutions that are reusable and extensible

Work alongside machine learning specialists to drive new feature development

How You'll Work.

Team & Collaboration

Partner with product managers, designers, and our users to deliver a great product experience; Participate in and provide meaningful feedback about major design choices; Work alongside machine learning specialists to drive new feature development; Readiness to step into a mentorship role to guide junior engineers and contribute to the team's growth

Communication Scope

Provide meaningful feedback about major design choices

Full Job Description

Afresh, the AI platform for grocery, began by tackling the most complex problem in the industry: fresh, and has evolved into the core AI platform for grocers. By leveraging proprietary AI designed for high-volatility environments, we empower partners like Albertsons, Meijer, and Wakefern to drive smarter decisions across their entire enterprise. Following record-breaking 70% revenue growth in 2025, we have scaled to 6 enterprise-grade solutions, with solutions live in over 10% of the U. S. grocery market. Our platform now orchestrates billions of decisions from the store floor to the distribution center and prevented over 200 million pounds of food waste last year alone. If you're looking for a role where your work directly translates into massive scale and social good, and you want to be part of the team that defines how the world eats, there is no better time to join us. About the Role As a member of the Production Planning team, you will play a pivotal role in bridging the gap between complex AI insights and real-world store operations. You won't just be moving pixels; you’ll be building the tools that store associates use to manage the life cycle of fresh food. This is a high-impact position where your work directly stabilizes the food supply chain for thousands of communities. What You’ll Do Build and ship high-quality applications to optimize in-store operations and decision-making. Support thousands of grocery stores on their critical fresh food supply chains across the US. Partner with product managers, designers, and our users to deliver a great product experience. Participate in and provide meaningful feedback about major design choices. Build out our analytics and monitoring/observability to understand our system behavior and make informed decisions. Ensure the quality of our software via automated tests. Design and build UIs, APIs, and solutions that are reusable and extensible. Work alongside machine learning specialists to drive new feature development

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