Job Summary We are seeking an experienced Google ADK GenAI Developer to design, develop, and deploy next-generation Generative AI and Agentic AI solutions using the Google Agent Development Kit (ADK) and Google Cloud AI ecosystem. The role requires strong Python and AI application development expertise, hands-on experience with Google ADK, Gemini, Vertex AI, RAG, multi-agent systems, and cloud-native GCP environments. Banking and Financial Services domain experience is preferred. Key Responsibilities • Design and develop enterprise-grade AI agents using Google ADK and Gemini models. • Build and maintain Agentic AI solutions capable of reasoning, planning, and executing complex business workflows. • Develop RAG-based applications integrating enterprise knowledge repositories and data sources. • Implement AI agent orchestration frameworks to support multi-agent collaboration and task execution. • Integrate AI services with enterprise platforms, REST APIs, databases, and external applications. • Create and optimize prompts, tools, and workflows to improve AI agent effectiveness and response quality. • Collaborate with AI architects and business teams to translate requirements into scalable AI solutions. • Develop secure and production-ready AI applications following enterprise architecture and governance standards. • Monitor and optimize AI model performance through evaluation, testing, and continuous improvement. • Support deployment and operationalization of AI applications within GCP environments. • Implement observability, security, governance, and compliance controls for AI systems and agent ecosystems. • Troubleshoot and resolve AI application issues across development, testing, and production environments. • Create technical documentation, including architecture diagrams, design specifications, and operational procedures. • Evaluate emerging AI technologies and frameworks and recommend adoption opportunities. • Participate actively in Agile ceremonies, including sprint planning, backlog refinement, standups, and retrospectives. • Partner with cross-functional teams to support successful delivery of AI transformation initiatives. Required Qualifications • 5+ years of software engineering experience, including 2+ years focused on Generative AI and Agentic AI development. • Hands-on experience developing AI applications using Google Agent Development Kit (ADK). • Strong Python programming and AI application development experience. • Experience with Google Vertex AI, Gemini models, AI Studio, and Google Cloud Platform (GCP). • Hands-on experience building AI agents, multi-agent systems, and agentic workflows. • Strong understanding of Retrieval-Augmented Generation (RAG), embeddings, semantic search, and knowledge retrieval systems. • Experience with vector databases such as Pinecone, Weaviate, Chroma, Milvus, or Vertex AI Vector Search. • Knowledge of AI orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel. • Experience integrating AI solutions with REST APIs, enterprise applications, databases, and third-party services. • Strong understanding of prompt engineering, model evaluation, and LLM optimization techniques. • Experience developing and deploying cloud-native applications in GCP environments. • Knowledge of Docker and Kubernetes. • Experience with CI/CD pipelines and DevOps practices. • Understanding of AI governance, responsible AI, security, and compliance requirements. • Experience working in Agile/Scrum environments. • Strong analytical, debugging, and problem-solving skills. • Excellent communication and stakeholder management skills. Preferred Qualifications • Banking and Financial Services domain experience. • Experience implementing production-grade Agentic AI solutions. • Experience with enterprise AI governance and responsible AI frameworks. • Experience evaluating emerging Generative AI technologies and agentic frameworks.