Startups · AI

Lead AI Automation Engineer

human · 11 Locations · On-site

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About human

human is an ai-enabled dating app for those ready for love . . . now. we are changing the future of how people find their person. Backed by Techstars.

About the role

The Lead AI Automation Engineer will provide hands-on technical leadership for the design, engineering, and productionization of AI-enabled automation across the Data Governance organization. This role is focused on building reliable automation products and agentic workflows—not training foundational models or serving as a traditional data scientist.

What they're looking for

  • 5+ years of experience in software engineering, application development, automation engineering, platform engineering, or enterprise systems integration
  • 2+ years of hands-on experience developing AI/ML, generative AI, intelligent automation, or advanced automation solutions, with demonstrated recent experience building LLM-enabled or agentic solutions
  • Demonstrated experience taking complex automation or AI-enabled solutions from concept/prototype through production deployment and operational support
More about this role

The Lead AI Automation Engineer will provide hands-on technical leadership for the design, engineering, and productionization of AI-enabled automation across the Data Governance organization. This role is focused on building reliable automation products and agentic workflows—not training foundational models or serving as a traditional data scientist. The engineer will combine generative AI, workflow orchestration, APIs, enterprise integrations, low-code automation where appropriate, and production engineering practices to automate complex governance processes. The role will lead technical design, establish reusable engineering patterns, mentor other engineers, and take high-value automation opportunities from concept through secure, scalable production deployment.

  • Lead the technical design and hands-on development of AI-enabled automations, agentic workflows, and intelligent process orchestration for enterprise Data Governance use cases.
  • Build solutions that combine large language models, deterministic business logic, workflow engines, APIs, enterprise data, and human-in-the-loop controls.
  • Design reusable automation frameworks, services, connectors, prompts, tools, and...

Read the full posting on human's site ↗

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