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Django Python Jobs in New Jersey (NOW HIRING)

Develop scalable backend applications using Python, Django, GraphQL, and PostgreSQL. * Deploy and manage cloud-native applications on AWS. * Support data pipelines/ETL, application security ...

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Django Python information

What is a django python?

A Django Python job typically involves developing web applications using Django, a high-level Python web framework. Professionals in this role are responsible for building, maintaining, and optimizing web applications, working with databases, and implementing secure authentication systems. They often collaborate with front-end developers, project managers, and other team members to create scalable and efficient web solutions.

What are the key skills and qualifications needed to thrive in the django python position, and why are they important?

To thrive as a Django Python developer, you need strong proficiency in Python programming, experience with the Django web framework, and a solid understanding of databases and web technologies. Familiarity with version control systems like Git, cloud platforms such as AWS or Azure, and knowledge of front-end technologies is often required, with additional value placed on Django or Python certifications. Effective problem-solving, teamwork, and clear communication are essential soft skills for collaborating within development teams. These skills are crucial to building, maintaining, and scaling reliable web applications in a dynamic tech environment.

What are some typical challenges faced by django python developers in their daily work?

Django Python developers often encounter challenges such as optimizing database performance, ensuring code scalability, and integrating third-party APIs or legacy systems into Django-based applications. Keeping up with regular security updates and best coding practices is also essential, as web applications must be robust and secure. Additionally, developers may need to collaborate closely with front-end teams, designers, and product managers, requiring flexibility and strong communication skills. These challenges provide ongoing opportunities to problem-solve, innovate, and develop expertise in web development and team collaboration.

Can I get a job with Django?

Yes, Django Python developers are in demand for web development roles that require building scalable and secure applications. Proficiency in Python, Django framework, and related tools like databases and version control can improve job prospects. Many positions require experience, a portfolio, and sometimes certifications in web development.

Is Django in demand in 2026?

Django Python developers are expected to remain in demand through 2026 due to the continued growth of web applications and backend development. Skills in Python, Django, and related frameworks are valuable for building scalable, secure web services, and many companies seek professionals with these competencies for full-stack or backend roles.

Is Python Django in demand?

Django Python developers are in high demand due to the framework's popularity for building scalable web applications. Skills in Python, Django, and related tools like REST APIs and databases increase employability across various industries, with many opportunities for full-time, remote, and contract roles.

What cities in New Jersey are hiring for Django Python jobs?

Cities in New Jersey with the most Django Python job openings:

Infographic showing various Django Python job openings in New Jersey as of September 2026, with employment types broken down into 2% Internship, 87% Full Time, 5% Part Time, 1% Temporary, and 5% Contract. Highlights an 75% Physical, 6% Hybrid, and 19% Remote job distribution.

Python Agentic AI Engineer

Rutherford, NJ

2T Consulting
IT Services • 51 - 200 employees

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