Lead Product Engineer, Voice AI

Alldus; New York (NY); On-site; USD 180,000 - 210,000; Full time

Job summary

Alldus in New York invites a Lead Product Engineer to help build production systems across conversational AI, real-time voice, retrieval, and technician-facing apps. You will own solutions from concept through deployment and continuous improvement, collaborating with customers and the founding team to ship impactful features.

Responsibilities include building platform functions for diagnostics and dispatch, developing real-time conversational agents, deploying AI agents across channels, creating

Qualifications

• Experience delivering LLMs or AI agents in production.
• Strong TypeScript and Python coding skills.
• Ability to translate operational requirements into reliable software.
• Independent, proactive, and customer-focused.

Responsibilities

• Build platform functionality for calls, diagnostics, work orders and technician dispatch.
• Develop real-time conversational agents for voice/video interactions with technicians.
• Deploy AI agents across channels and respond with relevant actions.
• Create and maintain production APIs and backend services.
• Build diagnostic retrieval systems using graph databases, vector search and MCP.
• Develop dashboards and internal tools to monitor platform activity.
• Create technician-facing interfaces with clear diagnostic guidance.
• Collaborate with customers and founders to ship solutions and improve features.

Skills

LLMs in production

TypeScript

Python

Ownership

Independent approach

Customer focus

Fast execution

Tools

Graph databases

Vector search

MCP (Model Context Protocol)

APIs

Job description

Our client, an early-stage AI Startup, is hiring a Lead Product Engineer to join their team in New York. The successful candidate will develop production systems across conversational AI, real-time voice, intelligent retrieval and technician-facing applications, as well as own solutions from understanding operational challenges through to deployment and continuous improvement.

Responsibilities

• 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.

Benefits

• Salary:$180k - $210k.