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CookUnity

AI Native Engineer

New York, New York, United StatesFrom $190kmidAdded 1 month ago

About this role

CookUnity seeks an AI Native Engineer to redesign workflows across the company by identifying automation opportunities, building production-ready AI agents and internal tools, and continuously optimizing them. You'll combine business analysis, systems integration, and engineering to unlock 10-100x improvements in team efficiency.

What you'll do

  • Map end-to-end workflows to identify bottlenecks and automation opportunities that drive step-change value
  • Design future-state processes deciding when to use agentic solutions vs. deterministic apps with appropriate human checkpoints
  • Build and ship production AI tools and workflows that teams rely on daily, not prototypes
  • Own deployed solutions in production: monitor KPIs, manage model evaluations, and continuously improve performance
  • Work across the company's toolstack including APIs, data warehouses, workflow orchestration, and databases
  • Document patterns and build institutional knowledge to increase AI adoption across teams

What they're looking for

  • AI/ML workflow design and agentic systems
  • Full-stack development and integration
  • Business process analysis and stakeholder interviewing
  • Data flow mapping and systems thinking
  • Production deployment and monitoring
  • Evaluation and regression testing
  • Python or similar programming languages
  • API and database integration
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CookUnity

CookUnity builds AI-powered automation solutions to redesign and optimize internal workflows across the company. The company is hiring AI Native Engineers who combine business analysis, systems integration, and engineering to develop production-ready AI agents and tools that drive significant efficiency improvements.

Website
cookunity.com
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Likely interview questions

  • Walk us through a time you redesigned a business process or workflow. How did you identify the bottleneck, and what was the measurable impact?
  • Describe your experience building agentic workflows versus deterministic applications. How do you decide which approach to use for a given problem?
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