Job Summary
Strong proficiency in Python or Java (ADK supports both).
Experience with Google Cloud Platform (GCP) especially Vertex AI Dialogflow and Cloud Functions.
Familiarity with natural language processing (NLP) concepts and tools.
Hands-on experience with webhook development and RESTful APIs.
Knowledge of containerization tools like Docker.
Ability to work with third-party libraries such as LangChain CrewAI etc.
Understanding of multi-agent architectures and orchestration strategies.
Responsibilities
Build modular and scalable agents using ADKs orchestration primitives (Sequential Parallel Loop LLM-driven routing).
Develop multi-agent systems with hierarchical coordination and delegation.
Implement custom tools and integrate pre-built ones (e.g. Search Code Exec).
Integrate agents with Google Cloud services such as Vertex AI Dialogflow Cloud Functions and Cloud Run.
Containerize and deploy agents across platforms including web mobile and embedded systems.
Define intents entities and session states for conversational agents.
Implement webhook logic using Node.js or Python for dynamic responses and backend integration.
Use ADKs built-in evaluation tools to assess agent performance.
Debug and monitor agents using Google Cloud Logging and Dialogflow Debug Console.
Apply safety and security patterns to ensure trustworthy agent behavior.
Follow best practices for NLU accuracy fallback handling and session management.