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Google ADK GenAI Developer, Charlotte, NC (Hybrid)

ProhiresCharlotte, NC🇺🇸United StatesPosted 11 Aug 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

We are seeking a  Google ADK GenAI Developer to join our team in Charlotte, NC (hybrid 3 days from office)
 
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.
 
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 (Google Cloud Platform).
  • 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 Google Cloud Platform 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.

Skills

Docker
Scrum
Agile
Generative AI
Google Cloud
Kubernetes
LLM
Python
REST
Stakeholder Management

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