Google ADK GenAI Developer

Vsg Business Solutions

Charlotte, NC, United States

26 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

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

+22 more

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

Job 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.
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Requirements

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.