Applied AI Engineer

Sante Technologies, Inc.; New York (NY); On-site; USD 140,000 - 210,000; Full time

Job summary

Santé is the leading operating system for local retailers, delivering a unified platform from POS to AI agents that optimize pricing, promotions, and catalog management. This Senior Applied AI Engineer role focuses on building production agents and context-aware systems that transform store data into actionable decisions in real time.

You will own models end-to-end, from research to production, delivering features that ship to stores within the same week and directly impact retailers’

Qualifications

• Hands-on experience with ML and LLMs in production systems.
• Familiarity with AI agents and context-aware applications.
• Ability to ship features rapidly to real-world retail environments.

Responsibilities

• Apply state-of-the-art ML and LLM techniques to merchandising intelligence, document understanding, and retrieval/ranking.
• Own models from research to production, shipping into stores the same week.
• Develop production agent and context-layer applications turning sales history, catalog, and market context into decisions.

Skills

Machine learning

LLMs

OCR

Tools

pgvector

LLM engines

Job description

Senior Applied AI Engineer - Applied AI

About Santé

Santé is the #1 operating system for local retailers.

Our platform runs the entire store - point of sale, integrated payments, eCommerce, inventory management, delivery-app integrations, marketing, bookkeeping, and AI Agents - so the owners of liquor, grocery, and convenience stores can compete like the big chains without losing what makes them local.

We're building a future where the corner liquor store has better technology than the national retailer: one place for selling to customers everywhere with AI agents that spots slow-moving inventory and creates the promotion to move it. Every feature we ship lands in real stores the same week, and the feedback loop is direct - our customers call us by name.

We move fast and ship daily. AI-assisted engineering isn't a talking point here; agents like Devin, Claude, and Codex are part of how the team works every day, and engineers who master that leverage ship multiples of what they could alone.

About the Team

Applied AI owns the intelligence layer of Santé, including aspects of Merchandising, Custom Reporting, Ecommerce, and Agentic workflows.

This is the team behind our AI Manager - a suite of production agents that handle end-to-end workflows like retail pricing strategies, creating marketing campaigns, maintaining SEO (eCommerce) and developing custom reports that give store owners the insight they need to run a stronger business. This team also owns invoice OCR/CV (structured extraction from messy distributor invoices, with selectable LLM engines) and embedding-based product matching. Nothing here is a demo: every model output lands in front of a real store owner making a real pricing decision.

About the Role

You'll design, build, and iterate on the agents powering Santé's core merchant experience. Working on this mission-critical team, you'll develop production agent and context-layer applications - turning each store's sales history, catalog, and market context into decisions that make independent retailers money. You'll own your models from research to production, and your work ships into stores the same week.

In this role, you will

• Apply state-of-the-art ML and LLM techniques to problems spanning:
  • Merchandising intelligence (slow-mover detection, price and promotion recommendation, competition and seasonality signals);
  • Document understanding (invoice OCR and structured extraction across LLM engines);
  • Retrieval and ranking (embedding-based product matching on pgvector, catalog dedup, contextual recommendations)