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Telecommute Python Django Backend Developer Jobs in Weehawken, NJ

2T Consulting

Python Agentic AI Engineer

Maywood, NJ

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

Kearny, NJ

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

Bogota, NJ

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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All JobsTelecommute Python Django Backend Developer JobsTelecommute Python Django Backend Developer Jobs in Weehawken, NJ

Telecommute Python Django Backend Developer information

See Weehawken, NJ salary details

$17.4K

$161.1K

$207.6K

How much do telecommute python django backend developer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for telecommute python django backend developer in Weehawken, NJ is $161,111.00, according to ZipRecruiter salary data. Most workers in this role earn between $158,100.00 and $182,100.00 per year, depending on experience, location, and employer.

What job categories do people searching Telecommute Python Django Backend Developer jobs in Weehawken, NJ look for?

The top searched job categories for Telecommute Python Django Backend Developer jobs in Weehawken, NJ are:

What cities near Weehawken, NJ are hiring for Telecommute Python Django Backend Developer jobs?

Cities near Weehawken, NJ with the most Telecommute Python Django Backend Developer job openings:

Telecommute Python Django Backend Developer jobs near you
Infographic showing various Telecommute Python Django Backend Developer job openings in Weehawken, NJ as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution, with an average salary of $161,111 per year, or $77.5 per hour.

Python Agentic AI Engineer

River Edge, NJ

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

Full-time

Posted 17 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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