Backend Engineer
Peppr AI (YC W25)
Date: 23 hours ago
City: Cupertino, CA
Salary:
$100,000
-
$149,998
per year
Contract type: Full time

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
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:
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:
- 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
- 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
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