Product Engineer, AI

Bernard

$120K — $150K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years experience in software engineering or related fields
  • Proficient in Python and TypeScript
  • Experience deploying LLMs or agents in production environments
  • Ability to work on real-world problems with immediate impact
  • Strong desire for autonomy and fast-paced work environments

Responsibilities

  • Own and manage production systems that serve customers
  • Develop real-time voice agents for field technician communication
  • Build and maintain AI agents for multichannel customer interactions
  • Create production APIs and services for the Bernard operating system
  • Design intelligent retrieval systems for appliance diagnostics
  • Develop internal tools and dashboards for team visibility
  • Collaborate directly with the CTPO and founding engineering team

Benefits

  • Opportunity to shape the product and company trajectory
  • Direct access to customers without bureaucratic hurdles
  • High level of autonomy with no micromanagement
  • Fast-paced startup culture with a focus on immediate impact
  • Collaborative team environment with direct feedback
Full Job Description
The Role

You own production systems that serve real customers today. 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.

You work directly with the CTPO and the founding engineering team. No product managers translating requirements. No sprint ceremonies slowing you down. You talk to customers, you see the problem, you build the fix.
What You'll Build
  • The platform that appliance repair companies use to manage calls, diagnostics, work orders, and technician dispatch
  • 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
  • Internal tools and dashboards that give our team and customers visibility into everything happening across the platform


Stack

Python and TypeScript. The rest is modern, production-grade, and changes fast. If you're good, you'll pick it up.

You Should Apply If
  • 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

How We Work

We are a small team. Everyone owns their domain end to end. There is no middle management, no committees, and no approval chains. If something needs to happen, you make it happen.

We work in person in New York City. We move fast, give direct feedback, and hold each other to a high bar. The pace is startup pace - if that energizes you, you'll love it here.

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