AI Native Engineer

About CookUnity: Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry’s best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you’ve found the right job posting. The Role: Every team at CookUnity has workflows that could be 10-100x more effective with the right automation. But unlocking that requires someone who can see the opportunity, design the future-state process, build it, and keep it running. That's this role. You'll embed directly with the cross functional AI team as a dedicated AI engineer. Your job isn't to write code faster with AI. It's to fundamentally redesign how work gets done. You'll map existing workflows end-to-end, identify where throwing compute at a task creates step-change value, and then build the solution: sometimes that's an agent, sometimes it's a deterministic internal app, sometimes it's a combination. Knowing which to reach for, and when, is a core part of the job. You'll architect the automated version, build it, and then own it in production: tracking KPIs, managing evals after model changes, and continuously improving. This is equal parts business analyst, systems integrator, and engineer. You'll spend as much time interviewing stakeholders and mapping data flows as you will writing code. You need to be the kind of person who can sit with a team lead, whiteboard a procurement process or a campaign launch workflow, spot the bottleneck that's begging for automation, and have a working prototype by end of week. You'll report to the Head of Applied AI. Responsibilities: Discover and Design Map the team's highest-value workflows end-to-end: structured and unstructured data flows, decision points, handoffs, and bottlenecks Identify where automation can drive step-change outcomes: processing orders of magnitude more inputs, collapsing multi-day processes into hours, or enabling work that simply wasn't feasible before Design the future-state workflow: where an agent acts autonomously, where a deterministic app handles the logic, where humans review, what context is needed, and what guardrails keep it safe Build the business case. You can articulate why this workflow matters in terms of time saved, revenue impact, or cost reduced Build and Ship Build production workflows and internal tools that the team relies on daily, not just demos Use your judgment on the right tool for the job: agentic workflows when tasks require reasoning and flexibility, deterministic apps and scripts when the logic is well-defined and reliability matters most Work across the company's toolstack: APIs, CLIs, MCP servers, spreadsheets, data warehouses, workflow orchestration, databases, and whatever else needs connecting Create human-in-the-loop interfaces where they matter. Knowing when to automate fully and when to keep a human checkpoint is a core skill Write clean, maintainable code. You'll use AI tools to move fast, but you own the quality of what ships Run and Improve Own your agents and apps in production. Monitor performance, track KPIs, and explain outcomes to stakeholders Manage evals and regression testing after model updates, prompt changes, or upstream data shifts Continuously improve: every workflow you own should get measurably better over time Build institutional knowledge: document patterns, create playbooks, and teach your team to think in terms of what's now automatable. Level up your team’s compute fluency and increase AI adoption What Success Looks Like W