Senior Platform Developer (AI Builder)

MaintainX

14 days+

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Flexible time off

Healthcare coverage

Equity opportunities

Training and development

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.
Hands-on experience with AI coding tools (Claude Code, OpenCode, Cursor, or similar).
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.

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.
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

Platform development

Developer experience

Infrastructure

Agent platforms

Product mindset

Docker

Dev Containers

GitHub Actions

Node.js

TypeScript

Python

Claude Code

OpenCode

Cursor

OpenTelemetry

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

Requirements

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

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