Backend Engineer

Join to apply for the Backend Engineer role at 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