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Python Developer Google Jobs in New York City, NY

2T Consulting

Python Software Engineer

Fort Lee, NJ · On-site

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 ...

2T Consulting

Python Software Engineer

Bogota, NJ · On-site

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 ...

2T Consulting

Python Agentic AI Engineer

Corona, NY · On-site

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 ...

2T Consulting

Python Agentic AI Engineer

Demarest, NJ · On-site

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 ...

2T Consulting

Python Agentic AI Engineer

Newark, NJ · On-site

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 ...

2T Consulting

Python Agentic AI Engineer

Astoria, NY · On-site

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 ...

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All JobsPython Developer Google JobsPython Developer Google Jobs in New York City, NY

Python Developer Google information

See New York City, NY salary details

$14

$64

$94

How much do python developer google jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for python developer google in New York City, NY is $64.13, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $72.84 per hour, depending on experience, location, and employer.

What is a Python developer Google?

A Python Developer at Google is responsible for designing, developing, and maintaining software solutions using Python. They work on a variety of projects, including data processing, web development, machine learning, and automation. This role requires strong problem-solving skills, proficiency in Python, and experience with frameworks and tools like Flask, Django, or TensorFlow. Python Developers at Google often collaborate with other engineers, data scientists, and product teams to build scalable and efficient applications.

What types of projects and teams do Python developers typically work with at Google?

Python Developers at Google commonly work on diverse projects ranging from data analysis pipelines to backend web services and machine learning infrastructure. They often collaborate with product managers, UX designers, and other engineers to design, develop, and deploy scalable solutions that impact millions of users. Teams are usually cross-functional, agile, and emphasize open communication and knowledge sharing. This collaborative and project-driven environment offers developers the opportunity to learn from peers, contribute to high-impact projects, and grow their technical expertise and career trajectory within Google.

What are the key skills and qualifications needed to thrive in the Python developer Google position, and why are they important?

To thrive as a Python Developer at Google, you need a strong background in Python programming, computer science fundamentals, and experience with scalable software systems, often supported by a relevant degree or equivalent work experience. Familiarity with development tools like Git, continuous integration platforms, and cloud environments such as Google Cloud Platform is highly valuable. Excellent problem-solving abilities, collaboration skills, and clear communication help you work seamlessly within cross-functional teams and fast-paced environments. These skills are critical for building robust, efficient, and innovative solutions that meet Google's high engineering standards.

Are Python developers still in demand?

Python developers remain in high demand due to Python's versatility in web development, data analysis, machine learning, and automation. Companies seek professionals skilled in frameworks like Django and Flask, as well as proficiency with tools such as Git and cloud platforms, making Python a valuable skill across many industries.

Is Google hiring a Python developer?

Google regularly hires Python developers for roles involving software engineering, data analysis, and machine learning. Candidates typically need strong programming skills in Python, experience with relevant frameworks, and a solid understanding of algorithms and data structures. Job openings are posted on Google's careers website and may require specific certifications or experience levels.

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

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

What are popular job titles related to Python Developer Google jobs in New York City, NY?

For Python Developer Google jobs in New York City, NY, the most frequently searched job titles are:

What job categories do people searching Python Developer Google jobs in New York City, NY look for?

The top searched job categories for Python Developer Google jobs in New York City, NY are:

Python Developer Google jobs near you
Infographic showing various Python Developer Google job openings in New York City, NY as of August 2026, with employment types broken down into 56% Full Time, and 44% Contract. Highlights an 100% In-person job distribution, with an average salary of $133,398 per year, or $64.1 per hour.

Python Software Engineer

2T Consulting

Fort Lee, NJ • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

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

Apply