Google ADK GenAI Developer
VSG Business Solutions LLC
Overview
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.
Responsibilities
- 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.
Required Skills
- 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.
Vacancy posted 2 days ago
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