- Design and architect distributed infrastructure for autonomous AI agents.

- Build highly scalable backend systems capable of supporting millions of applications and billions of agent executions.

- Develop resilient execution frameworks with intelligent retry, recovery, scheduling, and fault-tolerance mechanisms.

- Design systems for observability, debugging, validation, evaluation, and monitoring of non-deterministic AI workloads.

- Drive architectural decisions across backend services, distributed runtimes, infrastructure, and execution platforms.

- Improve platform reliability, scalability, latency, and operational efficiency.

- Define engineering best practices, architecture standards, and technical roadmaps.

- Mentor senior engineers and contribute to a high-performance engineering culture.

- Collaborate with platform, infrastructure, AI, and product teams to build next-generation AI systems.