Senior Engineer, AI Developer

Intercom Intercom · Enterprise · Dublin, Ireland +1 · Engineering

Senior Engineer role focused on building AI-driven automation agents and AI-assisted workflows to improve developer experience and productivity within an enterprise SaaS company. The role involves integrating AI into developer environments, improving codebases for AI, instrumenting and measuring AI system performance, and ensuring system safety and reliability. The goal is to make AI a trustworthy, everyday accelerant for the R&D organization.

What you'd actually do

  1. Build AI-driven automation agents that remove routine work with human-in-the-loop review, prioritize impact, prototype fast, and iterate until the automation transforms engineering.
  2. Make AI-assisted workflows the default in our developer environments: ship integrations, preconfigured workspaces, and developer agents that engineers want to use.
  3. Improve our codebases for AI: refactor, document, and introduce standards so agents and code suggestions are more accurate and reliable. Partner with repo owners to trial changes and measure outcomes.
  4. Instrument and measure everything: define success metrics, track adoption and impact, and use telemetry to guide improvements.
  5. Balance practicality and safety: design systems that consider cost, observability, privacy, and guardrails so AI features are dependable and trustworthy.

Skills

Required

  • Multiple years building and supporting high-performing systems, ideally in a SaaS, platform, or internal tooling context.
  • Practical AI toolchain experience: hands-on with LLMs, agents or code-assistants, model APIs, or prompt engineering.
  • Deep knowledge of at least one major programming language (Ruby, Python, JavaScript, etc.).
  • Developer experience obsession: you think in terms of developer time saved, reliable defaults, and usable workflows.
  • Bias to action and pragmatism: you iterate fast, unblock yourself and others, and stop or pivot when things do not deliver value.

Nice to have

  • Experience restructuring, documenting, and modernizing large codebases is a massive plus.
  • You've introduced new tools or workflows that actually got adopted and made a difference.
  • You’ve shipped CI/CD, dev environment automation, code-quality tools, or similar.
  • You align stakeholders, share best practices, make engineering trade-offs visible, and listen to your internal customers before acting.

What the JD emphasized

  • ship tangible solutions every day
  • operationalizing AI
  • AI-assisted workflows
  • Improve our codebases for AI
  • Instrument and measure everything
  • Balance practicality and safety
  • production-grade services

Other signals

  • AI-driven automation agents
  • AI-assisted workflows
  • operationalizing AI for engineering effectiveness
  • shipping production-grade services