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Zatanna is seeking a Senior Engineer in San Francisco, CA to help shape the AI era by building robust interfaces between cloud, on-premise, and autonomous software agents. You will work on scalable backend and infrastructure components that enable agents to act reliably across diverse environments.
The role emphasizes hardening systems, investigating complex behavior, and designing recovery when failures occur, while collaborating across cloud, web, and legacy stacks to deliver agent-ready
Engineering · San Francisco, CA, US · Full-time · Senior level
AI agents can already do more work, but they are held back by software built for human hands, so this role removes that bottleneck by making applications programmable. Much of the routine integration work may become faster with AI assistance, while the hard parts stay human: investigating strange systems, judging what is reliable, and designing recovery when things break. The engineer sits close to the layer that lets agents act on real world software.
Working here means learning how autonomous agents actually consume software, since the integrations built are the interfaces those agents rely on. The person would gain practical skill in making systems agent ready across cloud, web and legacy environments, and in handling the failure modes that appear when agents act without a person watching. Building this kind of reliability experience is directly useful for agent focused infrastructure work.
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
Zatanna turns legacy cloud and on-premise software workflows into robust application programming interfaces for autonomous software agents, according to company statements.