Backend Engineer (San Francisco)

Join to apply for the Backend Engineer role at Peppr AI (YC W25)

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.
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
  

Required
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
  

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

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

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