Role: Google ADK GenAI Developer
Location: Charlotte, NC (Need Onsite day 1,hybrid 3 days from office)
JR ID: JR1042811
Client: Wells Fargo
Job Description:
We are seeking an experienced Google ADK GenAI Developer is 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
Responsibilities:
- Minimum 5+ years of software engineering experience with at least 2+ years focused on Generative AI and Agentic AI development.
- Hands-on experience developing AI applications using Google Agent Development Kit (ADK).
- Strong expertise in Python programming and AI application development.
- Experience working 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 knowledge of Retrieval-Augmented Generation (RAG), embeddings, semantic search, and knowledge retrieval systems.
- Experience working 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 containerization technologies such as 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 capabilities.
- Excellent communication and stakeholder management skills.
- Banking and Financial Services domain experience is preferred.
Requirements:
- 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, 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 cloud environments.
- Implement observability, security, and compliance controls for AI systems and agent ecosystems.
- Participate actively in Agile ceremonies including sprint planning, backlog refinement, standups, and retrospectives.
- Troubleshoot and resolve AI application issues during development, testing, and production support phases.
- Create technical documentation including architecture diagrams, design specifications, and operational procedures.
- Evaluate emerging AI technologies and frameworks and recommend adoption opportunities.
- Partner with cross-functional teams to ensure successful delivery of AI transformation initiatives.