1

Internship Python Developer Google Jobs in New York

AI Engineer

Jersey City, NJ · Hybrid

$109K - $149K/yr

... Google AI Studio, and Google Workspace integrations. Proficiency in Python (primary) and ... Prior experience mentoring junior engineers or interns in AI/ML domains.

New

Python FSD Location - NY Position ID : 115719-65-1 Full Stack Engineer to support the work of our ... You have a solid grasp of computer science fundamentals through coursework, internships, or ...

Google/AWS/Other Cloud Certification * Primary target location is Iselin, open to Charlotte for ... engineering team and increase productivity. * Code could be Java, Python, or both. Will not have ...

Google Platform Engineer We're partnering with a leading financial services client in NYC to hire a ... Strong scripting skills (Python, Bash, or similar) * Solid understanding of networking, IAM, and ...

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

next page

Showing results 1-20

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:
What job categories do people searching Internship Python Developer Google jobs in New York look for? The top searched job categories for Internship Python Developer Google jobs in New York are:

$109K - $149K/yr

Other

Posted 2 days ago


Job description

Senior AI Engineer Google AI & Generative Intelligence
Location: [Paramus, NJ / Hybrid]
Experience Required: 10 15 Years in Software Engineering | 5+ Years in Artificial Generative Intelligence
Job Description:
We are seeking a highly experienced Senior AI Engineer with deep expertise in Google AI technologies, Generative AI, and Large & Small Language Model (LLM/SLM) development. The ideal candidate brings 10 15 years of broad software engineering experience, with the last 5 years focused exclusively on Artificial Generative Intelligence, including designing, building, deploying, and monitoring production-grade AI systems. This role demands mastery of the Google ecosystem including Google Workspace, Google Agent Development Kit (ADK), and Vertex AI alongside a strong command of modern LLM/SLM frameworks, cloud-native infrastructure, and MLOps best practices.
Required Qualifications
10 15 years of overall software engineering experience.
5+ years of hands-on experience in Artificial Generative Intelligence, including LLMs, SLMs, RAG, and multi-agent systems.
Deep expertise in Google AI ecosystem: Gemini, Vertex AI, Google ADK, Google AI Studio, and Google Workspace integrations.
Proficiency in Python (primary) and familiarity with Node.js.
Strong background in cloud-native development on Google Cloud Platform.
Demonstrated experience with model fine-tuning (LoRA, QLoRA, PEFT) and model evaluation frameworks.
Solid understanding of MLOps, CI/CD for AI systems, and production deployment best practices.
Experience with multi-agent AI architectures using Semantic Kernel, or LangGraph.
Preferred Qualifications
Google Cloud Professional certifications ( Professional ML Engineer, Professional Cloud Architect).
Contributions to open-source AI/ML projects.
Experience with edge AI deployments and hybrid cloud-edge inference.
Familiarity with synthetic data generation pipelines.
Prior experience mentoring junior engineers or interns in AI/ML domains.