Description

You will lead the design and implementation of advanced AI and distributed systems.

Responsibilities

• Architect end-to-end flows across agent, MCP, and external services.
• Trace and debug complex issues spanning multiple distributed services.
• Enforce DRY, SOLID, and observability standards through rigorous code review.
• Evaluate technical tradeoffs, such as batch versus sequential processing or caching strategies.
• Coordinate technical efforts across Supplier Hub, SDE, and Platform teams.

Required Skills

• Advanced Python programming proficiency.
• Expertise in LLM/Agent Systems, including strong ReAct patterns and prompt engineering.
• Deep experience with Distributed Systems, including MCP client-server communication and SSE streaming.
• Proficiency with REST and gRPC for API design and versioning.
• Strong understanding of observability tooling like OpenTelemetry and Prometheus.
• Experience with PostgreSQL and vector search implementations.
• Familiarity with GCP services, specifically BigQuery and GCS.
• Hands-on experience with Kubernetes and CCM integration.
• 5+ years of professional experience.

Key Skills

Education

Any Gradute