Pear VC

Full Stack Engineer – AI Applications, Backend

Pear VC

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Job Level

Mid-LevelSenior

Tech Stack

AWSGoogle Cloud PlatformPostgresPythonRedis

About the role

  • Architect and build scalable backend services supporting enterprise customers
  • Own entire backend features from conception to production deployment; ship iteratively and measure impact
  • Build and optimize AI-assisted backend capabilities from API design through production deployment, including model evaluation and retrieval-backed features
  • Develop robust data pipelines that ingest, validate, and transform large property and risk datasets
  • Collaborate closely with founders and customers on product development and integrations for large insurance companies
  • Add comprehensive observability, safety checks, dashboards, alerts, and service SLOs
  • Improve performance and reliability (query tuning, indexing, caching/Redis, connection pooling; retries/backoff, DLQs, replay/backfills) and keep runbooks current
  • Design/evolve PostgreSQL schemas and write safe migrations with rollout/rollback plans
  • Evolve CI/CD (GitHub Actions); ship small, frequent deployments behind flags
  • Maintain code quality with tests, PR reviews, concise docs/ADRs; pair when useful
  • Build backend APIs for AI-powered features and respond to customer requests and demo preparation with same-day interface updates
  • Debug production issues affecting enterprise customer implementations

Requirements

  • Ownership mentality; comfortable with ambiguity and energized by building a category-defining product
  • 0-5 years of experience (sweet spot: 1-3 years); open to exceptional new grads with strong academic projects or internships
  • Computer Science degree
  • Experience shipping AI-assisted or data-intensive services (e.g., integrating model APIs or retrieval-backed features) and measuring their quality and performance
  • AI tool proficiency — experienced using modern AI tools for automation, prototyping, and productivity
  • Tech stack: Python, AWS/GCP, CI/CD pipelines
  • Full commitment to in-person work — willing to be on-site in San Francisco 5 days/week and work long hours
  • Startup intensity and ownership mentality — work is your #1 priority