Artificial Intelligence Engineer

Design build and deploy AI agents using Googles Agent Development Kit ADK and Vertex AI Agent Builder integrating with APIs and systems

• Develop and orchestrate AgenttoAgent A2A communication flows enabling collaboration task delegation and information sharing among agents
• Implement LLMbased components prompt templates function calling structured outputs using frameworks
• Build and optimize RAG pipelines integrating Vertex AI Search Matching Engine vector databases and document stores
• Engineer context and memory modules for agents defining knowledge retrieval embedding strategies and session continuity logic
• Develop API integrations and connectors enabling realtime data exchange between agents backend services and UIUX interfaces
• Collaborate with data and ML teams to design ML workflows preprocessing finetuning deployment and monitoring on Vertex AI Pipelines
• Apply prompt engineering and grounding techniques to ensure model responses are contextually accurate explainable and compliant
• Ensure scalability observability and compliance of deployed agents across hybrid cloud onprem infrastructures
• Partner with Data Engineers UIUX teams AI Architects and Product teams to translate business requirements into technical agent logic testing strategies and continuous improvement loops
• Experience with handling quantitative numerically heavy use cases
• Experience with banking related AIGenAI use cases

Mandatory Skills : AI/GenAI Research