Posted directly on LandEarly · Sep 13

Software Engineer

Hire AI ScorePosted Sep 13, 2026
Software EngineerFull TimeRemoteSenior
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Sep 13
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Job descriptionFull Time

HireAIScore is an independent directory that scores AI hiring vendors against a published rubric tied to the EU AI Act, NYC Local Law 144, the Colorado AI Act, and Illinois HB 3773. We're hiring a Senior Software Engineer to help build and scale the platform that powers our vendor rankings, scoring rubric, and public-facing tools.

What you'll do

  • Design, build, and maintain backend and/or frontend systems that power vendor scoring, rankings, and comparison tools
  • Collaborate with editorial and research teams to translate scoring methodology and rubric logic into reliable, maintainable software
  • Own features end-to-end: technical design, implementation, testing, deployment, and monitoring
  • Improve the performance, scalability, and reliability of core services as the vendor directory and traffic grow
  • Review code and mentor other engineers, raising the overall bar for quality and craftsmanship
  • Work closely with product to scope and ship new tools and site features based on user and editorial needs

What we're looking for

  • 5+ years of professional software engineering experience, with a track record of shipping production systems
  • Strong proficiency in at least one modern backend language (e.g., Python, Go, Node.js, Java) and comfort working across the stack
  • Experience designing data models and APIs that need to stay accurate, auditable, and versioned over time
  • Solid understanding of testing, code review, and deployment practices for production web applications
  • Ability to work independently, communicate clearly, and make sound technical tradeoffs with limited direction
  • Comfort collaborating with non-engineering teams (editorial, research, product) to turn subject-matter requirements into working software

Nice to have

  • Experience building content-heavy or data-heavy public web platforms (directories, marketplaces, comparison tools)
  • Familiarity with versioned rules engines, scoring systems, or rubric-driven data models
  • Interest in AI governance, regulatory compliance, or HR tech

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