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Internship Python Developer Google Jobs in New York

We are seeking a Python Agentic AI Engineer to design, build, and deploy scalable AI agent and ... Design and develop autonomous and multi-agent solutions using Google ADK or Agent SDK. * Build ...

We are seeking a Python Agentic AI Engineer to design, build, and deploy scalable AI agent and ... Design and develop autonomous and multi-agent solutions using Google ADK or Agent SDK. * Build ...

We are seeking a Python Agentic AI Engineer to design, build, and deploy scalable AI agent and ... Design and develop autonomous and multi-agent solutions using Google ADK or Agent SDK. * Build ...

We are seeking a Python Agentic AI Engineer to design, build, and deploy scalable AI agent and ... Design and develop autonomous and multi-agent solutions using Google ADK or Agent SDK. * Build ...

We are seeking a Python Agentic AI Engineer to design, build, and deploy scalable AI agent and ... Design and develop autonomous and multi-agent solutions using Google ADK or Agent SDK. * Build ...

We are seeking a Python Agentic AI Engineer to design, build, and deploy scalable AI agent and ... Design and develop autonomous and multi-agent solutions using Google ADK or Agent SDK. * Build ...

We are seeking a Python Agentic AI Engineer to design, build, and deploy scalable AI agent and ... Design and develop autonomous and multi-agent solutions using Google ADK or Agent SDK. * Build ...

Showing results 21-40

Internship Python Developer Google information

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

AspectInternship Python Developer GoogleInternship Data Analyst Google
Required SkillsPython, programming, basic data structuresExcel, SQL, data visualization
Work EnvironmentSoftware development teams, coding projectsData analysis, reporting, dashboards
Industry UsageSoftware, tech, AI projectsBusiness intelligence, marketing, operations

Internship Python Developer Google focuses on coding, software development, and programming skills, often in AI or backend projects. In contrast, Internship Data Analyst Google emphasizes data analysis, visualization, and reporting skills for business insights. Both roles are valuable entry points in Google's tech ecosystem but serve different functions within the company's diverse projects.

What are the most commonly searched types of Python Developer Google jobs in New York?

The most popular types of Python Developer Google jobs in New York are:

Python Agentic AI Engineer

Nutley, NJ

2T Consulting
IT Services • 51 - 200 employees

Full-time

Posted 18 days ago


Job description

We are seeking a Python Agentic AI Engineer to design, build, and deploy scalable AI agent and backend solutions. The role combines Python, agentic AI, LLMs, RAG, AWS, APIs, microservices, and event-driven architectures to deliver production-ready AI applications.

Roles and Responsibilities
  • Design and develop autonomous and multi-agent solutions using Google ADK or Agent SDK.
  • Build agent workflows, tool calling, orchestration, and context management capabilities.
  • Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques.
  • Develop RAG solutions using embeddings and vector databases.
  • Build and integrate REST APIs, microservices, and event-driven architectures.
  • Develop scalable backend applications using Python, Django, GraphQL, and PostgreSQL.
  • Deploy and manage cloud-native applications on AWS.
  • Support data pipelines/ETL, application security, scalability, and resilience.
  • Implement AI observability, evaluation, security, governance, and guardrails.
  • Apply Domain-Driven Design (DDD), agile methodologies, testing, and code-review best practices.
  • Collaborate with product, engineering, data science, design, and business teams.
Required Skills & Experience
  • 7+ years of professional software engineering/system architecture experience.
  • Strong expertise in Python, particularly Django and GraphQL.
  • Hands-on experience with AI agent development using Google ADK or Agent SDK.
  • Strong experience with LLM integration, prompt engineering, and agent orchestration.
  • Experience with Gemini/OpenAI models, tool calling, function calling, structured outputs, and grounding.
  • Hands-on experience building RAG applications, vector databases, and embeddings.
  • Strong experience with AWS cloud-native application development.
  • Experience with REST APIs, microservices, SOA, and event-driven architectures.
  • Experience with PostgreSQL and data pipelines/ETL.
  • Knowledge of AI observability, evaluation, security, governance, and guardrails.
  • Strong understanding of scalable, resilient, and production-ready system architecture.
  • Strong collaboration and communication skills.
Preferred Skills
  • React and Apollo GraphQL
  • Domain-Driven Design (DDD)
  • Agile methodologies
  • AI evaluation frameworks
  • CI/CD and automated testing
  • Experience working in collaborative, in-person engineering environments