Bernard

Bernard

Product Engineer, AI

New York City/San Francisco

Sponsorship not specifiedDetected 226 days ago
TypeScriptPythonLLMsResearch

About the role

  • This is software engineering at the intersection of classical systems and cutting-edge AI - multimodal agents, real-time voice infrastructure, intelligent retrieval, and mobile interfaces that field technicians actually use.
  • You will ship code that changes how a technician diagnoses a broken compressor, how a dispatcher in Chicago routes a truck, and how a parts distributor in Dallas predicts demand.
  • The feedback loop between your code and real-world outcomes is measured in days, not quarters.

Responsibilities

  • The platform that appliance repair companies use to manage calls, diagnostics, work orders, and technician dispatch

Skills

  • Real-time speech-to-speech conversational agents for voice and video with field technicians
  • AI agents that join customer conversations across channels and act on messages
  • Production APIs and services that power the entire Bernard operating system
  • Intelligent retrieval systems using graph databases, vector search, and MCP for appliance diagnostics
  • You've shipped LLMs or agents to production, not just prototypes
  • You're strong in TypeScript and Python
  • You want real problems, not research projects
  • You thrive with autonomy - we don't micromanage because we hire people who don't need it
  • You're energized by speed, not stressed by it
  • You can get excited about helping a technician in Tulsa fix a dishwasher faster

Company info

  • Half of all appliance repair visits fail on the first trip.
  • Wrong diagnosis.
  • The homeowner waits another week.
  • The company eats another truck roll.
  • Multiply that across millions of service calls a year and you're looking at a broken layer of American infrastructure that nobody's talking about.
  • Bernard fixes this at the point of first contact.
  • Our AI answers the call, runs the diagnostic, predicts the right parts against live inventory, and sends the technician out with a game plan.
  • We don't just book the job.
  • We solve it before the truck rolls.
  • You own production systems that serve real customers today.
  • You talk to customers, you see the problem, you build the fix.
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This listing is sourced directly from Bernard's careers page and normalized into a canonical job model.