AI Native Engineer
About the role
CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on empowering chefs to nourish the world. This role is for a dedicated AI engineer who will map existing workflows, identify opportunities for automation, and build production workflows and internal tools.
Responsibilities
- 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, and where humans review.
- Create human-in-the-loop interfaces where they matter. Know when to automate fully and when to keep a human checkpoint.
- 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.
- Write clean, maintainable code. Own the quality of what ships.
- 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.
Qualifications
- Technical fluency to connect systems and build production workflows. Comfortable with APIs, CLIs, MCP, databases, and workflow orchestration.
- Good judgment on agents vs. deterministic tools. Know when an LLM-powered agent is the right call and when a well-built internal app or script is better.
- Strong foundation in at least one programming language (TypeScript, Python, Kotlin or similar) and ability to build full-stack when needed.
- Hands-on experience with LLMs in production, not just prompting, but building reliable systems: structured outputs, eval frameworks, error handling, human-in-the-loop design.
- Operational maturity. You don't just build things, you run them. You monitor, measure, iterate, and document.
- Communication skills to work cross-functionally. Interview stakeholders, present business cases, and explain technical tradeoffs to non-technical leaders.
- A portfolio of agent-powered workflows or internal tools you've built and deployed. Side projects, work projects, open source, anything with real users.
- You understand git, version control workflows, and basic security and safety practices when deploying AI into production environments.
- You've written about how you think about Applied AI (blog posts, threads, internal docs).
- You've worked with ops, finance, marketing, or another business function, not just engineering.
- You've taught non-technical people to use AI tools effectively.
Benefits
Health Insurance coverage
401k Plan
Unlimited PTO
5-year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical
Paid family leave
Compassionate Leave: 3-5 days each time the need arises
A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly
Wellness perks: access to fitness subsidies to build a healthy lifestyle
AI-forward workplace: enterprise access to ChatGPT and Claude to help you work smarter and grow faster
Personalized Spanish coach
Pay
$130,000—$190,000 USD