Backend Engineer

at Peppr AI — In-call AI teleprompter that helps reps close enterprise deals

Cupertino, CA, US / San Francisco, CA, USFull-timeAny (new grads ok)$100K - $150K0.25% - 1.00% equityYC-W25

What the role involves

What You'll Do As a founding backend engineer at Peppr AI, you'll architect and build the robust infrastructure that powers our agentic AI platform. You'll design PostgreSQL-based systems, implement secure authentication layers, manage cloud deployment pipelines, and help build the foundational systems that let AI agents interface securely with enterprise data.

Key responsibilities include

  • Design and maintain reliable PostgreSQL schemas, indexes, migrations, and backups
  • Build secure auth layers: authentication, fine-grained authorization, and RBAC systems
  • Containerize and deploy services on Kubernetes (or similar), integrating with CI/CD tooling
  • Monitor production performance, latency, reliability, and security across all systems
  • Collaborate on frontend integration and infrastructure improvements

Bonus

Help architect and build AI agent pipelines and orchestration systems

What We're Looking For We're seeking a builder who can create scalable, secure backend systems that form the foundation for AI-powered enterprise tools. You should have:

Required

  • 3+ years in backend development with strong PostgreSQL experience
  • Solid grounding in cloud platforms: AWS/GCP/Azure, Docker, and Kubernetes
  • Strong security awareness: authentication, authorization, and encryption best practices
  • Familiarity with API frameworks (FastAPI, Flask, Django)
  • Excellent collaboration and code review habits with a strong team mindset

Nice-to-Have

Hands-on experience with AI-centric pipelines, vector stores, and agent orchestration (RAG, LangChain, etc.)

Experience with cloud infrastructure tools

  • Terraform, Helm, GitOps
  • Background in production-grade security architectures (RBAC, IAM policies)
  • A product mindset and experience shipping end-to-end features
  • Comfort with ambiguity and rapid iteration in a startup environment

This role offers the opportunity to shape both our technical architecture and product direction while working on cutting-edge AI infrastructure challenges.

What they ask for

FlaskJavaScriptPythonReactRedis

About Peppr AI

Peppr makes the sales call itself the enablement surface. Our real-time overlay listens to customer conversations, surfaces approved answers to technical questions instantly, and suggests discovery questions to deepen signal - all grounded in your company's existing knowledge across 150+ enterprise tools. Reps stop deferring, messaging stays consistent, and enablement teams finally get visibility into where live conversations break down.

Full Peppr AI profile

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