About this role

Build platform functionality for customer calls, diagnostics, work order management and technician dispatch.
Develop real-time conversational agents supporting speech-to-speech interactions with technicians over voice and video.
Deploy AI agents that engage in customer conversations across multiple channels and respond with relevant actions.
Create and maintain production APIs and backend services supporting the field service platform.
Build diagnostic retrieval systems using graph databases, vector search and Model Context Protocol (MCP).
Develop dashboards and internal tools that help customers and colleagues monitor platform activity.
Create technician-facing interfaces that provide clear, accessible diagnostic guidance in the field.
Collaborate directly with customers and the founding team to identify challenges, ship solutions and improve features through practical feedback.
Skillset
A track record of delivering LLMs or AI agents into production environments.
Strong coding skills in TypeScript and Python.
The ability to turn operational requirements into dependable, production-ready software.
An independent approach, with confidence owning development from initial concept through to release.
A proactive mindset and the flexibility to deliver quickly as priorities change.
A focus on customer outcomes and improving day-to-day operations for technicians and service teams.

Lead Product Engineer