Cascade AI

Backend Engineer

• Design and own the architecture of backend services that power Cascade's AI agent platform, making decisions on system boundaries, data flow, and scalability.
• Lead technical design for complex features — write design docs, drive architecture reviews, and ensure alignment across teams.
• Build and evolve APIs that support conversational interactions, task execution, and long-running enterprise workflows.
• Design data models and storage layers across relational and NoSQL databases (PostgreSQL, Firestore), optimizing for performance and reliability at scale.
• Own production reliability for your systems — define SLOs, build monitoring and alerting, and lead incident response.
• Develop and iterate on LLM orchestration logic in Python, including prompt execution, tool calling, state management, and evaluation frameworks.
• Build ingestion and retrieval pipelines for HR documents and structured data used by AI agents.
• Design and improve evaluation and testing frameworks to measure and increase agent accuracy and reliability.
• Integrate deeply with enterprise systems such as HRIS platforms (Workday, ADP, UKG), ticketing tools (ServiceNow, Jira), and communication tools (Slack, Microsoft Teams).
• Implement authentication, authorization, and access controls to meet enterprise security and compliance requirements.
• Mentor junior and mid-level engineers through code reviews, pairing, and technical guidance.
• Identify and drive improvements to engineering processes, tooling, and best practices across the team.
• Collaborate with product, frontend, and customer teams to shape roadmap priorities and ship end-to-end features.

Senior Backend Software Engineer