About the role
We're looking for a full-stack founding engineer to help build Airweave's product layer that connects AI to user data.
At Airweave, you'll work across the entire system: from the search pipelines that power AI agents, to the sync infrastructure that keeps data flowing, to the APIs, MCPs, and frontend that developers use every day. You'll ship features that land in production the same day.
This is early-stage work. The codebase is young, the architecture is evolving, and your decisions will shape how thousands of AI agents access information.
What you'll work on
- Build and improve our multi-step, multi-index, distributed LLM search infrastructure
- Design and maintain our microservices layer: APIs, MCP servers, and async workers coordinated through Temporal and Redis
- Extend the sync engine that connects to dozens of sources and keeps data flowing reliably
- Ship frontend features in React/TypeScript that make complex workflows feel simple
- Contribute to CI/CD, observability, and the tooling that keeps the team moving fast
You might be a fit if
- You've built and shipped applications end-to-end
- You like understanding how systems fit together, not just your slice
- You're comfortable moving between frontend and backend work
- You have familiarity with transformers, embeddings, and information retrieval
- You've worked with async Python, TypeScript, or similar
- You know how to productionize your work using Git, CI/CD, and Docker
- You're drawn to early-stage environments where things move fast and change often
Bonus Points
- Experience with data pipelines, infrastructure (Terraform, Kubernetes), or ETL systems
- Background in distributed systems or workflow orchestration
