Product Engineer, AI

Bernard

• $125K — $150K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of software engineering experience with a focus on production systems
  • Proficient in TypeScript and Python programming languages
  • Demonstrated experience shipping LLMs or agents to production
  • Solid understanding of AI and real-time voice infrastructure
  • Ability to thrive in a fast-paced, autonomous environment

Responsibilities

  • Build and maintain systems that enhance the appliance repair service experience
  • Develop real-time conversational agents for field technician communication
  • Implement AI solutions that engage in customer conversations across multiple channels
  • Create production APIs that support the Bernard operating system
  • Design intelligent retrieval systems for appliance diagnostics
  • Develop internal tools and dashboards for operational oversight

Benefits

  • Direct collaboration with the CTPO and founding engineering team
  • Significant impact on product development and customer experience
  • High degree of autonomy in work and decision-making
  • Dynamic startup environment with no middle management
  • Strong emphasis on speed and efficiency in project execution
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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