Staff Engineer - AI

WonderNew York, NY
Hybrid

About The Position

As a Staff Engineer in the AI and Robotics organization, you will be responsible for building a food agent, which is a personalized meal planning and nutrition product. This product will integrate LLM-driven recommendations, health-aligned goal setting, and agentic ordering capabilities. Your role will involve shaping the technical strategy, making critical architectural decisions, and personally driving complex projects from initial design through to production. This position is ideal for individuals who have prior experience in building AI agents and LLM-powered products, particularly those with a background as a founder, founding engineer, or early-stage technical leader, and who possess a deep curiosity about the behavior of these systems at scale. This is a hands-on role where you will be actively writing, reviewing, and shipping code daily.

Requirements

  • 8+ years of professional software engineering experience, with at least 3 years building and shipping AI or ML-driven systems in production
  • Deep distributed systems expertise. You've architected infrastructure that handles high-throughput, low-latency workloads at scale
  • Hands-on experience building AI agents, LLM-powered features, or agentic workflows in production. You've worked with retrieval pipelines, prompt orchestration, embedding-based systems, and model evaluation
  • Proficiency with backend development frameworks and cloud infrastructure. Familiarity with Python, TypeScript, and modern ML tooling
  • Strong system design skills with a track record of shipping scalable, production-grade software under real constraints
  • A degree in Computer Science, Data Science, or a related technical field (or equivalent experience)

Nice To Haves

  • Prior experience as a founder, founding engineer, or early-stage technical leader at a startup. You know what it takes to build from zero with limited resources

Responsibilities

  • 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 experimentation infrastructure: evals, benchmarks, scoring criteria, A/B testing pipelines, and feedback loops that make the AI measurably better over time

Benefits

  • competitive salary package including equity and 401K
  • multiple medical, dental, and vision plans to meet all of our employees' needs
  • many benefits and perks that are not listed
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