Staff Engineer - AI

Wonder Group, INC; United States; Hybrid; USD 202,500 - 247,500; Full time

Benefits offered by this job

Equity

401(k)

Medical, dental, and vision plans

Job summary

Wonder Group, INC is seeking a Staff Engineer in New York to build a personalized meal-planning and nutrition product, blending LLM-driven recommendations and agentic ordering. Required qualifications include 8+ years in software engineering and significant experience in producing AI systems.

The position balances remote and office work, fostering team collaboration, and offers competitive compensation starting at $225,000 annually along with various benefits.

Qualifications

• Over 8 years in professional software engineering roles.
• At least 3 years in AI or ML-driven systems in production.
• Experience as a founder or technical leader at a startup.

Responsibilities

• Define and drive the technical roadmap for AI food agent.
• Architect and scale distributed infrastructure for real-time retrieval.
• Serve as technical decision-maker for product-wide architectural choices.

Skills

Professional software engineering experience

AI or ML-driven systems

Distributed systems expertise

Hands-on experience building AI agents

Proficiency with backend development frameworks

Strong system design skills

Experience with Python and TypeScript

Education

Degree in Computer Science, Data Science, or related field

Job description

About Wonder

Wonder is the mealtime platform built to feed every craving in one order. It lets users mix and match hundreds of dishes from 20+ restaurants in a single order, with $0 delivery fees, and offers dine‑in or pick‑up at a Wonder location. Each dish is made to order on‑site by our culinary team and served hot.

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 decisions, and personally drive high‑complexity work from design through production. This role is for someone with experience building AI agents and LLM‑powered products, ideally as a founder, founding engineer, or early‑stage technical leader, and who is deeply curious about how these systems behave at scale.

Key Responsibilities

• Define and drive the technical roadmap for our AI food agent, covering 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 a technical decision‑maker for product‑wide architectural choices, including 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 improve AI performance over time.

Qualifications

• 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—architected infrastructure for high‑throughput, low‑latency workloads at scale.
• Hands‑on experience building AI agents, LLM‑powered features, or agentic workflows in production, including retrieval pipelines, prompt orchestration, embedding‑based systems, and model evaluation.
• Prior experience as a founder, founding engineer, or early‑stage technical leader at a startup.
• 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).

Hybrid Work

Our hybrid model requires 3 days a week in the office. Many team members choose to come in more often to benefit from in‑person collaboration. You are welcome—and encouraged—to be in the office up to 5 days a week if it works for you. #LI‑Hybrid

Compensation

New York: $225,000 per year. Wonder uses geographic‑specific salary structures; the final offer will consider factors such as skills, education, training, credentials, and experience.

Benefits

We offer a competitive salary package that includes equity and a 401(k). Additionally, we provide multiple medical, dental, and vision plans to meet employees' needs, along with many other benefits and perks (not listed here).

Equal Employment Opportunity

At Wonder, we build the best teams by hiring with an objective lens—evaluating people for their potential while championing diversity, equity, and inclusion. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class. We participate in the federal government’s E‑Verify program to confirm employment eligibility. If you need an accommodation during the interview process, please let your recruiter know.