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Wonder

Multi-brand fast-casual dining with delivery

Senior Software Engineer - Platform Engineering

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • A Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience.
  • At least 5 years of professional software engineering experience, including recent hands-on work building with or on top of LLM-based tooling such as agents, MCP servers, or coding assistants.
  • Direct experience integrating AI tools into real development workflows, including code review, testing, code generation, or documentation, beyond individual use as an end user.
  • Strong system design skills and a track record of owning tools or platforms end-to-end, from design through adoption.
  • Comfort operating with ambiguity and shaping practices for a new team without established playbooks.
  • Experience designing and consuming APIs, webhooks, or other integration or message-based systems.
  • Experience building developer tooling, internal platforms, CI/CD systems, or other software primarily used by engineers.
  • A pragmatic approach to problem solving and the ability to troubleshoot complex technical obstacles.
  • Excellent communication and interpersonal skills, including the ability to drive technical discussions with engineers and leaders across multiple teams.

Responsibilities

  • Design and ship context aggregation solutions, MCPs/CLIs, skills, and sub-agents that give AI coding tools sanctioned, reliable access to the company's codebases, services, and systems.
  • Help define and stand up autonomous development agents and cloud agent solutions.
  • Bring emerging AI-assisted development practices into standards that fit the company's stack, scale, and constraints across code review, testing, code generation, and documentation.
  • Contribute to pre-review and triage tooling that clears and automates mechanical and policy issues before human review, and help define standards for reviewing AI-generated code.
  • Design and implement systems that optimize AI costs across the organization and abstract model selection from engineers, routing tasks to the right model at the right cost.
  • Help define and measure developer velocity.
  • Scope, design, and ship developer tooling with minimal oversight, weighing tradeoffs and partnering with platform, infrastructure, and application teams to bring it into production.
  • Write clear specifications and documentation, and provide, seek, and incorporate feedback.

Desired Qualifications

  • Experience with Java/JVM or Python is a plus, though not required.

About the Company

Wonder

Multi-brand fast-casual dining with delivery

Wonder creates fast-fine, chef-driven dinners for delivery, pickup, or dine-in. It groups several restaurant concepts under one storefront, letting customers order from multiple menus in a single transaction. After starting as a curbside truck, it now runs physical fast-casual locations and, in 2024, acquired Blue Apron to leverage its meal-kit and DTC customer base. Its goal is to capture a large share of the at-home and fast-casual dining markets by offering premium, convenient meals through a streamlined delivery platform and diverse chef-driven menus.

Company size
1,001-5,000
Company stage
Series D
Total funding
$2.9B
Headquarters
New York City, New York
Founded
2018

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