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Peppr AI (YC W25)

Backend Engineer

Peppr AI (YC W25), Cupertino, California, United States, 95014

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Backend Engineer

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Peppr AI (YC W25)

This range is provided by Peppr AI (YC W25). Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range $100,000.00/yr - $149,998.00/yr

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.

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\u2019re Looking For

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.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Technology, Information and Internet

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