Improve the end-to-end experience for building, deploying, and operating AI applications, from configuration and execution to monitoring and troubleshooting.
Develop MCP-compatible tool frameworks that enable secure, observable, and reusable integrations between agents, data sources, UI components, and services.
Build systems that provide clear visibility into agent and tool behavior, including status, logs, metrics, traces, and tool-call diagnostics.
Collaborate with Product and UX to turn customer pain points into platform enhancements that reduce complexity.
Balance flexibility and extensibility with simplicity, ensuring new capabilities improve the customer experience.
Participate in architectural discussions around application framework, extensibility, and long-term evolution.
Mentor junior engineers and contribute to best practices around API design, developer experience, and customer-facing reliability.

5+ years of backend software engineering experience building customer-facing applications or developer tools.
Strong experience designing APIs and service contracts that prioritize usability, clarity, and long-term maintainability.
Proficiency in at least one backend language (Python, Java, Go, C++, or similar).
Working knowledge of frontend integration concepts (component-based architectures, state management, API consumption).
Solid understanding of observability for complex workflows (logs, metrics, tracing, error reporting, and debugging tooling).
Ability to reason about customer needs, navigate ambiguity, and balance performance, usability, and reliability.
Experience with one or more cloud platforms (AWS, GCP, Azure).

Senior Backend Engineer

Key skills