Title- Principal AI Platform Engineer
Location: Sunnyvale, California.
Skill Proficiency Why It's Needed
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Python (Advanced) Expert DSPy, FastAPI, async/await, MCP protocol
LLM/Agent Systems Strong ReAct patterns, prompt engineering, token optimization
Distributed Systems Strong MCP client-server, streaming (SSE), event-driven
API Design Strong REST, gRPC, API versioning, contract-first
Observability Strong OpenTelemetry, distributed tracing, Prometheus
Databases Proficient PostgreSQL, embeddings/vector search
Cloud/Infrastructure Proficient Google Cloud Platform (BigQuery, GCS), Kubernetes, CCM
Integration & Data:
Skill Proficiency Why It's Needed
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Upstream/Downstream APIs Strong Supplier Hub, SDE, MSO Buyplan, OneTrack
Data Pipeline Understanding Proficient Historical data loads, ETL, data sync
Testing Strategy Strong Integration testing, mocks, test data management
Technical leadership
- System Design: Architect end-to-end flows across agent, MCP, and external services
- Debugging Complex Issues: Trace issues across multiple distributed services
- Code Review Excellence: Enforce DRY, SOLID, error handling, observability standards
- Technical Decision Making: Evaluate tradeoffs (batch vs sequential, caching, retries)
- Cross-Team Coordination: Collaborate with Supplier Hub, SDE, Platform teams