Staff Engineer - AI
Company: Wonder
Location: New York, NY 10018
Salary: $225,000 a year
Type: Full-time
Posted: 2026-04-20
About this role
About Wonder
Everything’s on the menu at Wonder. Except compromise.
Wonder is the mealtime platform built to feed every craving in one order. With Wonder, you can mix and match hundreds of dishes from 20+ exclusive restaurants in a single order, so everyone gets exactly what they’re craving. Enjoy everything from tacos to Thai with $0 delivery fees, plus dine-in or pick up at a Wonder location near you. Each dish is made to order on-site by our culinary team and served hot.
Behind the scenes, Wonder owns and operates every step of the dining experience, from recipe development to the technology that powers our experience, allowing us to deliver quality, variety, and consistency at scale.
*Join us as we work to make great food more accessible.*
About The Opportunity
As a Staff Engineer in our AI and Robotics org, you will build a food agent, a personalized meal planning and nutrition product that blends LLM-driven recommendations, health-aligned goal setting, and agentic ordering. You'll shape technical strategy, make key architectural calls, and personally drive high-complexity work from design through production. This role is for someone who has built AI agents and LLM-powered products before, ideally as a founder, founding engineer, or early-stage technical leader, and who is deeply curious about how these systems actually behave at scale. This is not a planning role: you'll write code, review code, and ship code every day.
The Impact You Will Make
- Define and drive the technical roadmap for our AI food agent, spanning recommendation, personalization, agentic ordering, and health-aligned meal planning
- Architect and scale distributed infrastructure for real-time retrieval, vector search, multi-modal inference, and LLM orchestration.
- Serve as technical decision-maker for architectural choices with product-wide scope: data pipelines, model serving, prompt orchestration, RAG, fallback logic, and evaluation frameworks
- Establish evaluation and...