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Pear VC

Software Engineer, AI Applications - TrueMeter

San Francisco Bay AreafulltimemidAdded 1 month ago

About this role

TrueMeter is seeking a Backend Software Engineer for AI Applications to develop backend systems for their AI Energy Agent, which simplifies energy payment processes for businesses. The role requires rapid prototyping and integration of advanced AI technologies to manage data from utility providers.

What you'll do

  • Build production systems connecting LLMs with data and product APIs
  • Design and deploy secure microservices using Python and TypeScript
  • Create reliable connectors for energy company portals and data sources
  • Design backend infrastructure for AI agents
  • Ensure high reliability and low-latency operations
  • Collaborate with teams to address technical challenges

What they're looking for

  • 1+ year experience in backend/full-stack development
  • Proficiency in Python and cloud platforms like GCP or AWS
  • Experience with LLMs and AI integration
  • Rapid prototyping abilities
  • Strong communication skills
  • Ability to work independently in a startup environment
  • Focus on impact and business outcomes
  • Ambition to build significant projects

Benefits

  • Build the AI backbone of the energy economy
  • Work with experienced founders and engineers
  • Rapid development from prototype to production
  • Opportunity to contribute to sustainability efforts
  • High-ownership and high-impact role
  • Be part of a fast-moving seed-stage startup
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Pear VC

Pear VC invests in and supports AI-driven enterprise software companies building automation platforms, compliance systems, and specialized tools across industries like financial services, insurance, and software development. The portfolio companies are hiring founding and senior engineers to design core infrastructure, build AI systems, and develop scalable backend platforms alongside their leadership teams.

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Likely interview questions

  • Walk us through a production backend system you've built in Python. How did you handle scaling, reliability, and observability?
  • Tell us about a time you integrated with third-party APIs (especially messy or poorly documented ones). How did you approach it?
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