AI Engineer

santehq.com • New York, NY

20d • $220,000 - $300,000

About The Position

Santé is seeking a Senior Applied AI Engineer to join their mission-critical team. This role involves designing, building, and iterating on the AI agents that power Santé's core merchant experience. The engineer will develop production agent and context-layer applications, transforming store data into decisions that increase retailer revenue. The position offers ownership of models from research to production, with work shipping to stores weekly. The Applied AI team is responsible for the intelligence layer of Santé, encompassing merchandising, custom reporting, eCommerce, and agentic workflows. They are the creators of the AI Manager, a suite of production agents handling tasks like retail pricing, marketing campaigns, SEO, and custom reports. The team also works on invoice OCR/CV and embedding-based product matching, with all outputs directly impacting real store owners.

Requirements

• 5+ years building and shipping robust AI products for large-scale, user-facing or data-driven products
• Strong software engineering skills (TypeScript and/or Python, production-quality codebases, collaborative development) and experience using agentic coding tools for large-scale parallel development
• In-depth experience with the full AI lifecycle: data analysis, rigorous evaluation, and ongoing monitoring and improvement
• Proven collaborator and communicator; excels in high-velocity, cross-functional teams
• Curious, driven by end-user and product impact, and passionate about advancing the state of applied ML and AI
• BS, MS, or PhD in Computer Science, Engineering, or a related field (or equivalent experience)

Nice To Haves

• Experience with LLM context engineering or harness engineering
• Experience in mid-training or post-training frontier open-source models
• Experience with large-scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking)
• Experience with LLM observability and eval tooling (Langfuse or similar) in production
• Familiarity with our stack: Next.js, tRPC, Prisma, PostgreSQL with pgvector, Vercel
• Retail, pricing, or demand-forecasting domain experience — you know why moving a slow SKU matters to a store's cash flow

Responsibilities

• 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)
• Build agent capabilities on top of Santé's Manager Agent platform — task generation, review workflows, and chat over each store's own data
• Build the evaluation harness for both offline and online techniques, designing experiments and metrics (evals, QA playbooks, Langfuse tracing) that provide deep insight into recommendation quality and merchant impact
• Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online testing, and iterative improvement — and build autonomous harnesses that let agent squads explore new problem spaces in parallel
• Collaborate cross-functionally with engineers, PMs, and store owners to ensure our AI drives measurable improvements in merchant revenue and hours saved
• Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research, models, and techniques into the product lifecycle

Benefits

• Fully company-covered medical and dental benefits.
• 401(k)
• Catered Lunches and Dinners

What This Job Offers

• Job Type: Full-time
• Career Level: Senior