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Peppr AI

AI sales enablement · real-time call assistance

Backend Engineer

San Francisco Bay Area · Onsite$100k–$150k/yrPosted 7 days ago
Software engineeringUnspecifiedFull Time
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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.

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