AI Engineer

Infragrid · Remote

The role

Kanu AI is hiring an AI engineer to own the full ML stack, from data pipelines to production deployment. The role involves building and shipping AI features, improving evaluation harnesses, and tracking research for practical application. The engineer will work directly with founders and own systems end-to-end.

Location
Remote
Level
Mid

What we know that the posting doesn’t say

  • Seen 1 day agostill listed on the employer’s careers page
  • Posted 42 days agothe first time we saw it

About Infragrid

Kanu AI provides an AI coworker that deploys in your own cloud, learns from your data and team intelligence, and encodes workflows.

What you would do

  • Build and own the ML stack including data pipelines and agent optimization.
  • Ship AI features into production and iterate based on real usage.
  • Improve evaluation harnesses to measure product improvement.
  • Track and apply research frontier pragmatically.

Must have

  • Evidence of shipping ML that real users touched.
  • Strong fundamentals across the full stack.
  • Pragmatism: choose boring but working approaches.
  • Comfort owning systems end to end without an ML team.

What you get

  • Meaningful equity stake.
  • Salary.

Key skills

  • machine learning
  • data pipelines
  • infrastructure
  • agent optimization
  • evaluations
  • tuning

ABOUT THE COMPANY Kanu AI is your organization’s AI coworker that deploys in your own cloud, continuously learns from your data, team intelligence, and outputs, and uses that knowledge to encode and maintain workflows that mirror how your people work.   THE ROLE We're hiring an AI engineer to…

Extracted from the employer’s posting. Read it in full on Infragrid’s careers page

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