Platform Engineer AI Builder

MaintainX•Village of Lake George, NY

39d

About The Position

MaintainX is the world's leading Asset and Work Intelligence platform for industrial and frontline environments. We are a modern IoT-enabled cloud-based tool for reliability, safety, and operations on physical equipment and facilities. MaintainX powers operational excellence for 13,000+ businesses including Duracell, Univar Solutions Inc., Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell. We recently completed a $150 million Series D round, bringing our total funding to $254 million and valuing the company at $2.5 billion. The way software gets built is changing faster than most companies can keep up with. At MaintainX, we're not waiting to see how it plays out, we're building the infrastructure that puts our developers at the leading edge of it. We're forming a dedicated team focused on accelerating how our developers build and ship software with AI. The team will develop agentic tooling across the software development lifecycle — starting with autonomous coding agents that can take a ticket, implement the change, and open a pull request, with minimal manual intervention. 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.

Requirements

4+ years of experience in platform engineering, 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.
Strong working knowledge of containerization (Docker, Dev Containers) and CI/CD pipelines (GitHub Actions or equivalent).
Comfortable with Node.js, TypeScript, Python, or similar.
A product mindset: you build platforms with and for internal customers, not just for yourself.

Nice To Haves

Knowledge about LLM agent frameworks, MCP, or tool-use patterns is a strong differentiator.
Bonus: you've already shipped an agent integration to production.

Responsibilities

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.