- Job title
- Backend Engineer
- Job location
- Cupertino, CA, US / San Francisco, CA, US
- Job description
- **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.
