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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Google ADK GenAI Developer - **Company:** Vsg Business Solutions - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Databases, Continuous Integration, Graph Database, Python (Programming Language), Neo4j, Node.Js, NoSQL, Software Tools, Cloud Services, Search Technologies, Software Engineering, SQL Databases, Enterprise Application Integration, Google Cloud, Enterprise Software Applications, GitHub Copilot, Large Language Models, Grafana, Multi-Agent Systems, Prompt Engineering, Generative AI, Backend, Event Driven Architecture, Kubernetes, Low Latency, Machine Learning Operations, Virtual Agents, Restful APIs, Docker, Microservices - **Published:** August 10, 2026 - **Apply:** https://www.careerjet.com/jobad/us6c9719fa961f61baccd729a97d324c8c ## About the Role We are seeking a highly skilled Google ADK GenAI Developer with 12+ years of experience in software engineering, AI/ML application development, and cloud technologies. The ideal candidate will have hands-on expertise in Google Agent Development Kit (ADK), Google Gemini, Vertex AI, and enterprise-grade AI agent development. This role involves designing and building scalable GenAI and multi-agent solutions that drive business transformation., * 12+ years of software development experience with strong expertise in Python. * Hands-on experience with Google Agent Development Kit (ADK). * Strong experience with Google Gemini, Vertex AI, Agentic AI, and LLM-based applications. * Expertise in Prompt Engineering, RAG, AI Agents, Multi-Agent Systems, and Tool Calling. * Experience with LangChain, LangGraph, MCP, AutoGen, or similar agent frameworks. * Proficiency with Vector Databases such as Pinecone, Weaviate, Chroma, or Vertex AI Vector Search. * Strong understanding of REST APIs, microservices, and event-driven architectures. * Experience with Google Cloud Platform (GCP) services. * Knowledge of Docker, Kubernetes, CI/CD pipelines, and cloud-native development. * Experience with SQL/NoSQL databases and enterprise integration patterns. Preferred Skills * Experience with AgentOps, LLM evaluation, and observability tools. * Knowledge of MLOps and AI model deployment frameworks. * Experience with AI governance, responsible AI, and security controls. * Google Cloud certifications. * Experience working in Banking, Financial Services, Healthcare, or large enterprise environments. Nice to Have * Experience with Devin AI, Claude Code, GitHub Copilot, or AI-assisted software development tools. * Knowledge of graph databases (Neo4j), knowledge graphs, and advanced reasoning frameworks. * Exposure to multimodal AI applications and AI-driven workflow automation. ## Description * Design, develop, and deploy AI agents and multi-agent systems using Google ADK. * Build enterprise GenAI applications leveraging Gemini models, Vertex AI, prompt engineering, and RAG architectures. * Develop agent workflows, tool integrations, function calling, and autonomous decision-making capabilities. * Implement Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge sources. * Integrate AI agents with enterprise applications, APIs, databases, and cloud services. * Establish AI governance, security, observability, and monitoring frameworks. * Optimize LLM performance, latency, scalability, and cost efficiency. * Collaborate with architects, product owners, data engineers, and business stakeholders to define AI-driven solutions. * Lead technical design discussions and mentor development teams on GenAI best practices., Role: Node/AWS Lead Developer Location: Charlotte, NC (Hybrid role 3 days/week) Contract Job Description Design, develop, and maintain backend applications using Node.js an… + 1 day ago + Apply easily ## Related Videos - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) - [AI Agents & Agentic AI](https://www.wearedevelopers.com/videos/2017-ai-agents-agentic-ai) ## Related Articles - [Got AI ideas but no money? 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