Google ADK GenAI Developer

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 Google Cloud Platform 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 Google Cloud Platform 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 (Google Cloud Platform). 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 Google Cloud Platform 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.

Education: Bachelors Degree