Artificially Intelligent Corporations

Founding Full Stack Software Engineer

$100K - $185K / 0.25% - 1.50%
San Francisco, CA, US / Remote (US)
Job Type
6+ years
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Omar Shams
Omar Shams

About the role

As Founding Full Stack Software Engineer you will be working with a high performance team that was formerly part of DeepMind, Google, and Meta.

Our product auto wiki (, turns code into wikipedia style articles with citations to the code has really resonated with developers. We're on a mission to automate corporations starting by automating software and software understanding.

You do not need to know any machine learning but should have a strong desire to learn more on the job working alongside our ex DeepMind founder and the team that was formerly part of Google, AWS, and Stanford.


  • Extremely effective, self-driven builder
  • 5+ years of experience building and owning a complete end-to-end technology stack (Frontend + Backend + Cloud + CI/CD)
  • 3+ years of Python and Typescript familiarity
  • 1+ years of AWS experience
  • Strong product sense and customer centric mindset
  • Strong remote working communication skills
  • Overlap with US hours and can meet in person once a quarter


  • Familiarity with Machine Learning
  • Comfortable with meta-programming (ASTs, macros, etc) or have a strong desire and ability to learn
  • Familiarity with Rust or Go
  • Familiarity with CloudFlare, GCP, and Azure

What to expect & benefits

  • Incredibly talented technical team with passion for our space
  • Culture that values shipping, minimal process, technical excellence, and creativity
  • Medical, Dental, and Vision Benefits
  • 401(k)


Auto Wiki the planet! is revolutionizing how people understand code and technical documentation ( and looking to add some excellent engineers, ASAP.

We believe too many essential technologies ranging from roman concrete to the technology behind the Saturn V have been lost to history.

As a first step towards our long term mission of automating corporations we believe we must protect institutional knowledge and technology by making it widely understood and accessible with Auto Wiki (
Team Size:7
Location:San Francisco
Omar Shams
Omar Shams