Senior Platform Developer (AI Builder)
Posted Updated
- In this role, you’ll own the infrastructure that makes that possible: reproducible developer environments, containerized sandboxes, agent orchestration, MCP tool integrations, and the observability layer that makes AI agents trustworthy at scale. You’ll be a foundational contributor to a system that every developer at MaintainX will rely on
- Build and operate the full agent infrastructure stack: isolated dev environments, agent orchestration, and the MCP tool registry that gives agents to internal systems
- Design and maintain reproducible developer environments, ensuring dev, CI, and agent environments are identical by construction
- Integrate agents with internal and external tooling so agents can be triggered from anywhere and agents have the context they need to act
- Instrument agent runs with OpenTelemetry to produce traces of tool invocations, CI outcomes, and failure points, turning AI pipelines from black boxes into observable systems
- Establish standards for MCP tool development and agent configuration sharing so teams can author capabilities once and reuse them across repos
- Collaborate with product and platform teams as internal customers, running enablement, demos, and office hours to drive adoption of the agent platform
Benefits
- Flexible time off
- Training and development investments
- Competitive salary and equity opportunities
- Comprehensive healthcare coverage
- Strong working knowledge of containerization (Docker, Dev Containers) and CI/CD pipelines (GitHub Actions or equivalent)
- A product mindset: you build platforms with and for internal customers, not just for yourself
- 4+ years of experience in platform development, developer experience, or infrastructure — you’ve felt the friction of inconsistent environments and flaky CI, and you know how to fix it
- Hands-on experience with AI coding tools (Claude Code, OpenCode, Cursor, or similar) and a genuine interest in making agentic workflows your full-time focus
- Bonus: you’ve already shipped an agent integration to production
- Knowledge about LLM agent frameworks, MCP, or tool-use patterns is a strong differentiator
- Comfortable with Node.js, TypeScript, Python, or similar