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Python Django Developer Jobs in New York (NOW HIRING)

2T Consulting

Python Agentic AI Engineer

Paramus, NJ · On-site

Develop scalable backend applications using Python, Django, GraphQL, and PostgreSQL. * Deploy and ... Collaborate with product, engineering, data science, design, and business teams. Required Skills ...

2T Consulting

Python Agentic AI Engineer

Hollis, NY · On-site

Develop scalable backend applications using Python, Django, GraphQL, and PostgreSQL. * Deploy and ... Collaborate with product, engineering, data science, design, and business teams. Required Skills ...

2T Consulting

Python Agentic AI Engineer

Hillside, NJ · On-site

Develop scalable backend applications using Python, Django, GraphQL, and PostgreSQL. * Deploy and ... Collaborate with product, engineering, data science, design, and business teams. Required Skills ...

2T Consulting

Python Agentic AI Engineer

Arverne, NY · On-site

Develop scalable backend applications using Python, Django, GraphQL, and PostgreSQL. * Deploy and ... Collaborate with product, engineering, data science, design, and business teams. Required Skills ...

2T Consulting

Python Agentic AI Engineer

Astoria, NY · On-site

Develop scalable backend applications using Python, Django, GraphQL, and PostgreSQL. * Deploy and ... Collaborate with product, engineering, data science, design, and business teams. Required Skills ...

2T Consulting

Python Agentic AI Engineer

Orange, NJ · On-site

Develop scalable backend applications using Python, Django, GraphQL, and PostgreSQL. * Deploy and ... Collaborate with product, engineering, data science, design, and business teams. Required Skills ...

2T Consulting

Python Agentic AI Engineer

Vauxhall, NJ · On-site

Develop scalable backend applications using Python, Django, GraphQL, and PostgreSQL. * Deploy and ... Collaborate with product, engineering, data science, design, and business teams. Required Skills ...

2T Consulting

Python Agentic AI Engineer

Great Neck, NY · On-site

Develop scalable backend applications using Python, Django, GraphQL, and PostgreSQL. * Deploy and ... Collaborate with product, engineering, data science, design, and business teams. Required Skills ...

2T Consulting

Python Agentic AI Engineer

Teaneck, NJ · On-site

Develop scalable backend applications using Python, Django, GraphQL, and PostgreSQL. * Deploy and ... Collaborate with product, engineering, data science, design, and business teams. Required Skills ...

2T Consulting

Python Agentic AI Engineer

Newark, NJ · On-site

Develop scalable backend applications using Python, Django, GraphQL, and PostgreSQL. * Deploy and ... Collaborate with product, engineering, data science, design, and business teams. Required Skills ...

2T Consulting

Python Agentic AI Engineer

River Edge, NJ · On-site

Develop scalable backend applications using Python, Django, GraphQL, and PostgreSQL. * Deploy and ... Collaborate with product, engineering, data science, design, and business teams. Required Skills ...

2T Consulting

Python Agentic AI Engineer

Maywood, NJ · On-site

Develop scalable backend applications using Python, Django, GraphQL, and PostgreSQL. * Deploy and ... Collaborate with product, engineering, data science, design, and business teams. Required Skills ...

2T Consulting

Python Agentic AI Engineer

New York, NY · On-site

Develop scalable backend applications using Python, Django, GraphQL, and PostgreSQL. * Deploy and ... Collaborate with product, engineering, data science, design, and business teams. Required Skills ...

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Python Django Developer information

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$25.2K

$125.9K

$437.1K

How much do python django developer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for python django developer in New York is $125,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,100.00 and $174,000.00 per year, depending on experience, location, and employer.

What is a Python Django developer?

A Python Django Developer is a software professional who specializes in building web applications using the Django framework, which is written in Python. Django is known for its rapid development capabilities, security, and scalability. Developers in this role are responsible for designing, coding, testing, and maintaining web applications, integrating databases, and ensuring that applications follow best practices. They often work as part of a team and collaborate with front-end developers, designers, and other stakeholders to deliver robust web solutions.

What does a Python Django developer do?

A Python Django developer writes server-side web applications using Django software. You write code and develop back-end components for applications, then integrate your work with front-end developers. You must test, troubleshoot, and debug code for any application you work on. You write and implement software solutions that integrate different systems. Your responsibilities include writing reusable and testable code and supporting new projects with a Level-3 perspective. Other duties include designing and implementing low-latency, high-availability, and performant applications. You also implement security and data protection.

What are the key skills and qualifications needed to thrive as a Python Django developer, and why are they important?

To thrive as a Python Django Developer, you need strong proficiency in Python programming, web development fundamentals, and deep understanding of the Django framework, typically supported by a degree in computer science or related experience. Familiarity with version control systems like Git, RESTful APIs, relational databases, and deployment tools is essential, and certifications in web development or Django can be beneficial. Problem-solving abilities, effective communication, and a collaborative mindset are crucial soft skills in this role. These skills and qualities ensure the delivery of robust, scalable web applications and foster effective teamwork in dynamic development environments.

What are some common challenges Python Django developers face when working on large-scale projects?

Python Django Developers working on large-scale projects often encounter challenges such as managing complex database migrations, optimizing performance for high-traffic applications, and ensuring code maintainability across multiple team members. Effective communication and version control practices are vital when collaborating with front-end developers, QA engineers, and DevOps teams. Developers also need to stay up-to-date with security best practices to protect applications from vulnerabilities. Proactively addressing these challenges helps ensure smooth development cycles and successful project outcomes.

What is the difference between Python Django Developer vs Python Flask Developer?

AspectPython Django DeveloperPython Flask Developer
Required CredentialsBachelor's in Computer Science, Python, Django certificationsBachelor's in Computer Science, Python, Flask familiarity
Work EnvironmentLarge-scale web applications, full-stack developmentMicroservices, lightweight APIs, flexible projects
Industry UsageE-commerce, social media, enterprise appsPrototyping, startups, custom APIs
Search & Comparison IntentOften compared for full-stack capabilitiesCompared for lightweight, flexible solutions

Python Django Developers typically work on large, complex web applications with a structured framework, while Python Flask Developers focus on lightweight, flexible microservices and APIs. Both roles require Python skills, but Django developers often have additional experience with full-stack development and enterprise environments, making them suitable for larger projects. Flask developers are preferred for rapid prototyping and smaller, custom solutions.

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Python Django Developer jobs near you
Infographic showing various Python Django Developer job openings in New York as of August 2026, with employment types broken down into 52% Full Time, 10% Part Time, and 38% Contract. Highlights an 92% In-person, and 8% Hybrid job distribution, with an average salary of $125,931 per year, or $60.5 per hour.

Python Agentic AI Engineer

Jackson Heights, NY • On-site

2T Consulting
IT Services • 51 - 200 employees
Learn more about 2T Consultingexternal

Full-time

Posted 14 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

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