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Summer Python Developer Google Jobs in North Carolina

Google Cloud Architect

Charlotte, NC · On-site

$110 - $170/hr

We focus on adopting a data-first approach to engineering and value-stream management, enabling ... Python Development REST API & Integration Design Google Cloud Platform (GCP) Cloud Run / Cloud ...

New

Google Cloud Architect

Charlotte, NC · On-site

$63.50 - $80.75/hr

We focus on adopting a data-first approach to engineering and value-stream management, enabling ... Python Development REST API & Integration Design Google Cloud Platform (GCP) Cloud Run / Cloud ...

Google ADK GenAI Developer Location: Charlotte, NC (Hybrid - 3 days office in a week) Duration: 12 ... Proficiency in Python; experience with Java or TypeScript is an advantage. Strong understanding of ...

Showing results 21-40

Summer Python Developer Google information

What is the difference between Summer Python Developer Google vs Summer Data Analyst Google?

AspectSummer Python Developer GoogleSummer Data Analyst Google
Required SkillsPython, programming, data structuresExcel, SQL, data visualization
Work EnvironmentSoftware development teams, coding projectsData analysis teams, reporting tasks
Industry UsageTech, software, AI projectsBusiness, marketing, product insights

Summer Python Developer Google focuses on coding and developing software solutions using Python, often working on AI or backend projects. In contrast, Summer Data Analyst Google emphasizes analyzing data, creating reports, and deriving insights. Both roles are popular summer internships at Google, but they serve different functions within the tech ecosystem.

What are the most commonly searched types of Python Developer Google jobs in North Carolina?

The most popular types of Python Developer Google jobs in North Carolina are:

What are popular job titles related to Summer Python Developer Google jobs in North Carolina?

For Summer Python Developer Google jobs in North Carolina, the most frequently searched job titles are:

What cities in North Carolina are hiring for Summer Python Developer Google jobs?

Cities in North Carolina with the most Summer Python Developer Google job openings:

Infographic showing various Summer Python Developer Google job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 39% Full Time, 52% Part Time, 6% Contract, 1% Nights, and 1% Summer. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Google ADK GenAI Developer, Charlotte, NC (Hybrid)

Prohires

Charlotte, NC • On-site

Other

This job post has expired today. Applications are no longer accepted.


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.