Description
We're looking for a Senior Engineer to join our Builder Tools team, responsible for making shipping delightful, fast, and low-toil for hundreds of engineers and agents. Your mission is to help turn Intercom's entire R&D organization into an AI-first engineering machine.
As a Senior Engineer, you will work across our codebases, developer environments, and internal tooling to make AI a trustworthy, everyday accelerant. You will ship tangible solutions every day that work, prove their value, and scale. You'll focus on developer enablement: operationalizing AI for real-world engineering effectiveness and eliminating drag so all of R&D can do their best work.
Key responsibilities include:
- Building 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.
- Making AI-assisted workflows the default in our developer environments: ship integrations, preconfigured workspaces, and developer agents that engineers want to use.
- Improving our codebases for AI: refactor, document, and introduce standards so agents and code suggestions are more accurate and reliable.
- Partnering with repo owners to trial changes and measure outcomes.
- Instrumenting and measuring everything: defining success metrics, tracking adoption and impact, and using telemetry to guide improvements.
- Balancing practicality and safety: designing systems that consider cost, observability, privacy, and guardrails so AI features are dependable and trustworthy.
- Evangelising and enabling adoption: working with engineering leads and internal champions, creating playbooks and demos, and helping teams get real benefit from the tooling.
- Shipping production-grade services: owning design, implementation, tests, and operational runbooks and agent skills.
To succeed in this role, you'll need:
- 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: thinking in terms of developer time saved, reliable defaults, and usable workflows.
- Aligning stakeholders, sharing best practices, making engineering trade-offs visible, and listening to internal customers before acting.
- A bias to action and pragmatism: iterating fast, unblocking yourself and others, and stopping or pivoting when things do not deliver value.
If you're excited about the opportunity to join our team and help drive innovation in AI-first engineering, please apply!