Jobs at Airweave
Context retrieval for AI agents across apps and databases
About Airweave
as of Sep 2026Context retrieval for AI agents across apps and databases
[ Open roles ]
- Founding Software Engineer, Data InfrastructureSan Francisco, California, Us
Founding Software Engineer, Data Infrastructure at Airweave. This role involves designing and scaling distributed data pipelines, building and operating Temporal workflows, managing Kubernetes deployments, scaling PostgreSQL, managing vector database infrastructure, orchestrating LLM inference pipelines, and building monitoring and alerting systems.
- Founding Software Engineer, Full StackLos Angeles, CA
Founding Software Engineer, Full Stack at Airweave in Los Angeles, CA. This role involves building the product layer connecting AI to user data, working across search pipelines, sync infrastructure, APIs, MCPs, and frontend. The engineer will ship features daily and shape how AI agents access information.
- Founding Software Engineer, Data InfrastructureLos Angeles, CA
Founding Software Engineer, Data Infrastructure at Airweave. This role involves designing and scaling distributed data pipelines, building and improving Temporal workflows, owning Kubernetes deployments, scaling PostgreSQL, managing vector database infrastructure, orchestrating LLM inference pipelines, and building monitoring and alerting systems with Prometheus and Grafana.
- Founding Forward Deployed EngineerLos Angeles, CA
Founding Forward Deployed Engineer at Airweave, based in Los Angeles, CA. This role involves embedding with enterprise customers to deploy and integrate Airweave, build custom connectors, debug production issues, and translate customer feedback into product improvements. The work spans Kubernetes, Python, PostgreSQL, and LLM infrastructure, requiring strong generalist skills and the ability to thrive in ambiguous environments.
- Founding Software Engineer, Full StackSan Francisco, California, Us
Founding Software Engineer, Full Stack at Airweave. This role involves building the product layer that connects AI to user data, working across the entire system from search pipelines and sync infrastructure to APIs and frontend. The engineer will ship features that land in production the same day and shape how AI agents access information.