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.

About the company

About Peppr AI

At Peppr AI, we’re building the data and intelligence layer that makes AI agents truly work inside large enterprises. AI adoption is exploding, but most orgs can't make use of agents because their data is too fragmented. Peppr solves this by learning from how employees actually work and stitching together an org-wide brain that agents can use.

We’re already deployed at enterprises with 1000+ employees like Citrix and just wrapped up the W25 Y Combinator batch. We’re a team of 4 Georgia Tech grads with 2 prior exits, and we move fast, build deep, and obsess over solving real problems.

We’re hiring another founding engineer to join us on the technical frontier — someone excited to shape the future of how humans and AI work together.

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