Architect multi-agent systems using Google ADK (MAS architectures).
Develop deterministic graph workflows weaving AI reasoning with explicit execution paths.
Integrate custom Agent Skills and third-party tools (Google Maps MCP, Search, APIs).
Evaluate and debug ADK: test trajectories, loops, collisions, reduce hallucinations.
Scale and deploy agents to Agent Engine via Cloud Run; ensure availability and security.
Collaborate with product managers and AI researchers to optimize Gemini model integration.

🎯 Requirements

BS in CS or related field, or equivalent experience.
2+ years building and deploying production-grade LLM or Agentic AI systems.
Strong Python or TypeScript/Node.js proficiency (ADK supported).
Experience with GCP: Cloud Run, Vertex AI, Secret Manager, Cloud Storage.
Hands-on with Google ADK 2.0+.
Deep understanding of MAS orchestration, state graphs, deterministic routing.

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