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Graphql Engineer Jobs in New Jersey (NOW HIRING)

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

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 ...

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

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

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

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

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

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

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

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

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

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

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

Showing results 41-60

Graphql Engineer information

What does a GraphQL engineer do?

A GraphQL Engineer specializes in designing, developing, and maintaining APIs using the GraphQL query language. They work on building efficient data-fetching systems that allow clients to request exactly the data they need from a server. GraphQL Engineers often collaborate closely with frontend and backend teams to optimize API performance, ensure data security, and streamline application development. Their responsibilities may also include schema design, implementing resolvers, and integrating GraphQL with various databases or services.

What are the key skills and qualifications needed to thrive as a GraphQL engineer?

To thrive as a GraphQL Engineer, you need strong proficiency in JavaScript or TypeScript, deep understanding of GraphQL schema design, and experience with API development, typically supported by a relevant computer science degree or equivalent experience. Familiarity with tools like Apollo Server/Client, Relay, Node.js, and version control systems such as Git is essential, along with experience in RESTful APIs and cloud platforms. Excellent problem-solving skills, collaborative teamwork, and effective communication distinguish top performers in this role. These skills ensure robust, efficient API development and seamless integration across front-end and back-end systems, driving product scalability and user satisfaction.

What are some common challenges GraphQL engineers face when designing scalable APIs, and how can they be addressed?

GraphQL Engineers often encounter challenges ensuring that APIs remain performant and scalable as the complexity of queries and the number of clients grow. Common issues include over-fetching or under-fetching data, managing query complexity to prevent expensive operations, and maintaining clear schema documentation. These can be addressed by implementing query depth and cost analysis tools, optimizing resolvers, using efficient data loaders, and collaborating closely with frontend teams to refine schema design for real-world use cases. Regular code reviews and performance monitoring also help maintain a robust and scalable GraphQL API.

What is the difference between Graphql Engineer vs Backend Developer?

AspectGraphql EngineerBackend Developer
Primary FocusDesigning and implementing GraphQL APIsBuilding and maintaining server-side application logic
Skills & CertificationsGraphQL, JavaScript/TypeScript, API designServer-side languages (Java, Python, Node.js), database management
Work EnvironmentCollaborates with frontend teams, API developmentDevelops core backend systems, database integration
Industry UsageTech companies, startups, organizations adopting GraphQLBroadly used across industries for backend services

While both roles involve backend development skills, a Graphql Engineer specializes in creating and optimizing GraphQL APIs, whereas a Backend Developer focuses on overall server-side application development. The choice depends on whether the role emphasizes GraphQL technology or general backend systems.

What are popular job titles related to Graphql Engineer jobs in New Jersey?

For Graphql Engineer jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Graphql Engineer jobs in New Jersey look for?

The top searched job categories for Graphql Engineer jobs in New Jersey are:

Infographic showing various Graphql Engineer job openings in New Jersey as of August 2026, with employment types broken down into 88% Full Time, 5% Part Time, 2% Temporary, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Python Agentic AI Engineer

2T Consulting

Cresskill, NJ • On-site

Full-time

This job post has expired today. 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