Principal AI Platform Engineer
AI summary of the role
Principal-level individual contributor owning the technical vision for MaintainX's AI platform — the catalog of Agents, Skills, and Tools used by all product engineers.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Define the Agent / Skill / Tool architecture for progressive autonomy
- Scale the context graph over 14,000+ equipment manuals, 370,000+ procedures, and 27M+ annual work orders
- Build developer experience: agent orchestration, MCP tool registry, reproducible dev environments, observability
- Design offline and online evaluation systems to improve agent performance from user interactions
What you’ll bring
- 10+ years software engineering experience with depth in backend systems, distributed architecture, or platform/infrastructure engineering
- 3+ years building ML or LLM-powered systems in production with experience in evaluation, latency, cost, and reliability
- Track record of company-wide technical leadership at Principal level
- Internal platform experience where customers are other engineers
Technologies
Python · LLM · ML · MCP · LangGraph · LlamaIndex · Langfuse · LangSmith · Braintrust · RAG · vector databases · knowledge graphs
About MaintainX
Mobile-first, AI-powered maintenance and enterprise asset management platform for blue-collar and frontline industrial teams, blending enterprise scale with consumer simplicity.
Series D · 500–1000 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
for the frontline. The Role Our AI Platform is the catalog of Agents, Skills, and Tools that every product engineer at MaintainX assembles to ship AI-powered features. CoPilot, Root Cause Analysis, the Parts Agent, and the Scheduling Agent all run on it. As Principal Engineer, you will own the technical vision for the AI platform and scale it to match our ambition. This is a senior individual contributor role reporting to VP of Engineering. You will lead through architecture, high-leverage technical decisions and products that produce long-term company outcomes. You will set direction across multiple divisions, align executives on platform strategy, and hold leaders accountable for engineering-wide adoption. What you will own: Define the Agent / Skill / Tool architecture. Evolve the platform so agents can reason, plan, and collaborate, skills are discoverable and reused across
More from the job description
About MaintainX MaintainX is the world's leading mobile-first work execution platform for industrial and frontline teams. We help over 13,000 customers, including Duracell, Shell, Marriott, McDonald's, Volvo, DHL, and AB InBev, reduce unplanned downtime and run more efficient operations. In July 2025 we closed a $150M Series D led by Bessemer Venture Partners, bringing total funding to $254M at a $2.5B valuation. We were named to the 2025 Forbes Cloud 100, Forbes America's Best Startup Employers 2025, and ranked #1 in EAM and CMMS on G2's Summer 2025 report. The market is at a turning point. Manufacturing will need to fill 3.8 million vacant jobs through 2033. Technicians spend roughly 60% of their time on paperwork and research instead of actual wrench work. Most manufacturers expect to adopt AI-driven maintenance at scale by 2027. Our AI Platform is how we make that transition real for the frontline. The Role Our AI Platform is the catalog of Agents, Skills, and Tools that every product engineer at MaintainX assembles to ship AI-powered features. CoPilot, Root Cause Analysis, the Parts Agent, and the Scheduling Agent all run on it. As Principal Engineer, you will own the technical vision for the AI platform and scale it to match our ambition. This is a senior individual contributor role reporting to VP of Engineering. You will lead through architecture, high-leverage te [... source excerpt omitted ...] g-term company outcomes. You will set direction across multiple divisions, align executives on platform strategy, and hold leaders accountable for engineering-wide adoption. What you will own: Define the Agent / Skill / Tool architecture. Evolve the platform so agents can reason, plan, and collaborate, skills are discoverable and reused across workflows, and tools expose structured, permission-aware access to operational data. Design for progressive autonomy as trust, reliability, and governance mature. Scale the context graph. Architect the retrieval and knowledge systems that turn 14,000+ digitized equipment manuals, 370,000+ procedures created yearly, and 27M+ annual work o [... source excerpt omitted ...] ineering experience, with significant depth in backend systems, distributed architecture, or platform / infrastructure engineering. 3+ years building ML or LLM-powered systems in production, with real operating experience around evaluation, latency, cost, and reliability. A track record of company-wide technical leadership at the Principal level. You have defined architecture for systems used by multiple teams, influenced engineering strategy beyond a single division, and held leaders accountable for adoption. Internal platform experience where your customers are other engineers. You treat developer experience as a product: adoption, documentation, enablement, and ergonomics are
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