Backend / Systems Engineer, Agent Infrastructure

Build the backend systems and infrastructure that support reliable agent execution at an early-stage SaaS company. Working with the technical leadership and AI engineering team, you will own foundational architecture for persistent state, safe execution, permissions, and recovery., * Build backend services and data models to track operational work, ownership, and outcomes over time.

• Develop asynchronous workflows that reliably handle retries, timeouts, external events, and interrupted execution.
• Create shared APIs and tool-execution interfaces with authorization and customer-data isolation.
• Improve how operational knowledge is stored, versioned, and served.
• Strengthen testing and observability as the platform evolves.
• Investigate production issues, design clear interfaces, and deliver maintainable solutions.

• At least 3 years of backend engineering experience building and maintaining production services.
• Practical experience with Python and/or TypeScript/Node.js, and willingness to work across both.
• Experience with PostgreSQL or another relational database, including data modeling and transactions.
• Experience with background jobs, queues, or event-driven processing, including failure handling and data consistency.
• Strong backend fundamentals and experience designing reliable asynchronous workflows.
• Experience with workflow engines, multi-tenant applications, authorization, FastAPI, or agent tooling is a plus. Prior LLM experience is not required.