Senior Full-Stack Engineer (AI/LLM-focused)

Curotec

  • Philadelphia, Pennsylvania
  • 30+ days ago

    Highlights

    You should be comfortable designing AI-powered frontend + backend systems together, using AI dev tools daily, and adding the right testing and CI guardrails to ensure production quality. This is a builder role for someone who turns ideas into working features quickly, pushes full-stack code to production, and iterates based on real usage.

    Numbers & Facts

    LocationPhiladelphia, Pennsylvania

    Description

    Job description

    Role Summary
    We’re hiring a highly agile Full-Stack Engineer who thrives in early-stage startups and uses the latest AI coding tools to ship fast. This is a builder role for someone who turns ideas into working features quickly, pushes full-stack code to production, and iterates based on real usage. You should be comfortable designing AI-powered frontend + backend systems together, using AI dev tools daily, and adding the right testing and CI guardrails to ensure production quality.

    What You’ll Do
    Ship full-stack features end-to-end with high ownership
    Use AI coding tools to accelerate development and refactoring
    Build modern frontend apps and backend APIs
    Connect AI/LLM systems into real product workflows
    Push frequent releases and iterate quickly
    Productionize AI-generated code with tests and reviews
    Maintain lightweight CI, testing, and monitoring
    Debug and fix production issues fast
    Contribute to pragmatic architecture decisions

    Tech Stack
    Frontend
    Astro, Vue, TypeScript, Vite, Tailwind , Contentful CMS
    Backend
    Django, PostgreSQL, Redis, Inngest , BAML + multiple LLM providers

    Job requirements

    Requirements
    Strong full-stack experience in production systems
    Deep experience with Vue + TypeScript and Python backends
    Experience with APIs, databases, and third-party integrations
    Hands-on use of AI coding tools for real development work
    Ability to validate and harden AI-generated code
    Comfortable in fast-moving, low-process environments
    Bias toward shipping and iteration over perfection

    Nice to Have
    Real-time systems or websocket experience
    LLM/AI integrations in production
    CI/CD pipeline experience 

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