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AI SDK Version Compatibility Checker

Charlotte Tran

Full-time · Job · New_York

About the role

Our mission is to make AI explainable to non-technical stakeholders, and that starts with our own developer tools being clear about what breaks between SDK versions. This role builds the automated checker that runs every SDK release against real customer integration code in isolated Docker environments, flagging breaking changes before they reach a changelog. You'll own the pipeline from trigger to report, deciding what counts as a meaningful breaking change versus noise developers can safely ignore. It's a role for someone who cares as much about developer trust as about code correctness.

Responsibilities

  • Build the automated compatibility checker running against real integration code samples
  • Maintain isolated Docker test environments for each supported SDK version
  • Define and refine what qualifies as a breaking versus non-breaking change
  • Publish clear compatibility reports into the release process on AWS-hosted CI

Requirements

  • Strong Python skills for building test and automation tooling
  • Comfortable working with Docker-based isolated test environments
  • Experience with AWS-hosted CI/CD pipelines
  • Prior work on developer tools or SDKs a strong plus

Benefits

  • Fully remote position
  • Health and dental coverage
  • Generous PTO policy
  • Conference and learning budget

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Job Type

Full-time

Level

Mid-Level

Language

English

Salary Range

$100k – $130k / year

AI Expertise

Automation & AI Workflows MLOps & AI Infrastructure

Skills

python docker aws

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