Healthcare AI Developer Advocate & Community Builder

Autonomize

Austin (TX)

On-site

USD 100,000 - 140,000

Full time

3 days ago
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Benefits offered by this job

Equity
Medical insurance
Dental insurance
Vision insurance
401(k)

Job summary

Autonomize AI is seeking a hands‑on Developer Evangelist to empower developers to adopt our autonomous healthcare platform. You will speak at events, organize hackathons, craft demos, and create technical content that accelerates adoption.

You will work closely with product, engineering, and customer teams to translate feedback into practical improvements. The ideal candidate blends coding, public speaking, and workshop facilitation to help enterprise customers apply agentic AI to real‑world

Qualifications

  • 5–10 years in developer advocacy, developer relations, or related roles.
  • Strong understanding of AI, LLMs, RAG, tool use, and agent orchestration.
  • Hands‑on software development experience with APIs and demos.
  • Proven ability to create tutorials, articles, and instructional videos.
  • Experience presenting technical topics and leading workshops.

Responsibilities

  • Represent Autonomize AI at developer conferences, meetups, webinars, hackathons, and events.
  • Organize hackathons, coding challenges, build days, and hands‑on workshops on agentic AI.
  • Deliver technical presentations, live coding demos, and platform walkthroughs.
  • Create blogs, videos, demos, and open‑source examples to engage developers.
  • Collaborate with product, engineering, and solutions teams on onboarding and APIs.
  • Translate feedback into platform improvements and better developer experience.

Job description

Autonomize AI is seeking a hands‑on Developer Evangelist to empower developers to adopt our autonomous healthcare platform. You will speak at events, organize hackathons, craft demos, and create technical content that accelerates adoption.

You will work closely with product, engineering, and customer teams to translate feedback into practical improvements. The ideal candidate blends coding, public speaking, and workshop facilitation to help enterprise customers apply agentic AI to real‑world

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