Software Engineer, Developer Experience (ai)

Clay · Vertical AI · New York, NY · Engineering

This role focuses on building developer experience and engineering infrastructure to support the integration of AI coding agents into the software development lifecycle. The goal is to create systems where agents can understand code context, execute tasks, and safely integrate changes, ultimately enhancing engineering productivity and enabling the company to leverage AI advancements.

What you'd actually do

  1. design and build the developer experience that powers the next generation of software engineering at Clay
  2. systems that make both engineers and coding agents dramatically more effective across the full development lifecycle
  3. Monorepo organization, orchestration, and tooling
  4. CI/CD pipelines, including evaluation and validation of agent-generated changes
  5. Expose rich codebase context to coding agents, enabling multiple agents running and parallel and supporting automated refactors, migrations, and bug fixing

Skills

Required

  • building developer tooling
  • infrastructure
  • internal platforms
  • developer experience
  • engineering productivity
  • designing systems that automate complex workflows
  • how AI will transform the software development lifecycle
  • clean, maintainable code
  • owning systems end-to-end

Nice to have

  • prior experience building AI systems

What the JD emphasized

  • hardest challenges in engineering aren't writing the code itself—they're everything around it: context, environment, validation, testing, and safely integrating changes into real production systems
  • systems where coding agents can operate with deep awareness of the codebase, infrastructure, and development lifecycle
  • major investment in developer experience and engineering infrastructure
  • systems that make both engineers and coding agents dramatically more effective across the full development lifecycle
  • systems you build will shape how software gets built at Clay
  • infrastructure harness that allows Clay to fully leverage the latest AI Advancements
  • Clay engineers can move faster with less friction
  • Coding agents can operate with deep context and make meaningful changes safely
  • development environment adapts quickly as new AI capabilities emerge
  • Engineering productivity compounds as more of the software lifecycle becomes automated
  • You don’t need prior experience building AI systems — curiosity and experimentation matter more.

Other signals

  • AI models can generate code
  • coding agents
  • developer experience
  • engineering infrastructure
  • AI advancements