Platform Developer (AI Builder)

MaintainX; United States; On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Flexible time off

Training and development investments

Competitive salary and equity

Healthcare coverage

Job summary

MaintainX seeks an experienced platform/infrastructure engineer who will own the internal agent infrastructure, reproducible development environments, and the MCP tool registry for scalable AI agents.

You will collaborate with product and platform teams, run enablement sessions and office hours, and define standards so teams reuse capabilities across repositories.

This role demands hands-on coding across Node.js, Python, and container tooling.

Qualifications

• Proven experience building scalable developer platforms.
• Hands-on with containerized environments and CI/CD pipelines.
• Experience with AI coding tools is a plus.

Responsibilities

• Own the infrastructure enabling reproducible dev environments and agent orchestration.
• Build and operate the full agent infra stack and MCP tool registry.
• Design reproducible environments for dev, CI, and agent runs.
• Integrate agents with internal/external tooling for triggers and context.
• Instrument runs with OpenTelemetry to produce traces and observability.
• Set MCP tool development standards and enable cross-repo reuse.
• Collaborate with product and platform teams, delivering enablement and office hours.

Skills

Platform development

Developer experience

Infrastructure

AI coding tools

Tools

Docker

GitHub Actions

Dev Containers

OpenTelemetry

Node.js

Python

Job description

• 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 yourself4+ 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 itHands-on experience with AI coding tools (Claude Code, OpenCode, Cursor, or similar) and a genuine interest in making agentic workflows your full-time focusBonus: you’ve already shipped an agent integration to productionKnowledge about LLM agent frameworks, MCP, or tool-use patterns is a strong differentiatorComfortable with Node.js, TypeScript, Python, or similar