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Artificial Intelligence, Marketing Technology, Sales Technology, SaaS

Backend Engineer

Cupertino, California, United StatesOnsiteFull Time$100,000–$149,998 /yrPosted 2 months agoHidden Gem · YC Startup

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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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