StackAI-posted 14 days ago
Full-time • Mid Level
San Francisco, CA

We’re looking for a Staff Backend Engineer to own and evolve the backbone of StackAI’s platform. This is not just a coding role, it’s a technical leadership position where you’ll help shape our architecture, guide our backend engineering direction , and set the standards for scalability, reliability, and developer excellence. You’ll work closely with our founders and product leads to make long-term architectural decisions that will define how we scale from thousands to millions of users.

  • Architect, design, and lead the development of scalable backend systems powering our no-code AI platform.
  • Define long-term backend strategy: system design patterns, data modeling approaches, service boundaries, and infrastructure choices.
  • Mentor and elevate other engineers by reviewing designs, sharing context, and driving best practices across backend development.
  • Integrate new AI models and data sources as they are released, ensuring robust performance and reliability.
  • Collaborate cross-functionally with product, design, and frontend teams to translate user needs into elegant backend solutions.
  • Continuously evolve our infrastructure for reliability, observability, and performance — proactively identifying and solving bottlenecks before they occur.
  • Advocate for technical excellence , balancing velocity with sustainable, maintainable design.
  • Strong proficiency in Python and experience with FastAPI or similar modern web frameworks.
  • Deep understanding of system design , database architecture , and scaling distributed systems .
  • Hands-on experience with SQL and NoSQL databases (e.g. Postgres, Supabase, SQLAlchemy).
  • Strong command of cloud infrastructure (AWS: EC2, S3, RDS, Lambda) and containerization ( Docker, Kubernetes ).
  • Proven ability to take ownership of complex backend projects from concept to production.
  • Excellent problem-solving and communication skills; able to explain trade-offs clearly and influence technical direction.
  • Comfortable in a fast-paced startup where priorities evolve and impact is immediate.
  • Experience building and deploying AI-driven applications or retrieval-augmented generation (RAG) pipelines.
  • Knowledge of embedding generation and large-scale data processing .
  • Familiarity with LLM integrations , prompt orchestration, or fine-tuning workflows.
  • Passion for AI, open-source tooling, and empowering developers and non-developers alike.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service