1

Manager Graphql Jobs in New York (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 ...

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

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

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

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

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

Showing results 21-40

Manager Graphql information

What is the difference between Manager Graphql vs Developer Graphql?

AspectManager GraphqlDeveloper Graphql
CredentialsTypically requires management experience, leadership skills, and sometimes certifications in project management or related fieldsRequires programming skills, knowledge of GraphQL, and often certifications in software development
Work EnvironmentLeads teams, manages projects, and coordinates between stakeholdersFocuses on coding, designing, and implementing GraphQL APIs and queries
Employer & Industry UsageUsed in organizations needing project oversight and team management in tech and software companiesUsed by software development teams building or maintaining GraphQL services

While both roles involve GraphQL, the Manager Graphql focuses on team leadership and project management, whereas the Developer Graphql is centered on coding and technical implementation. Understanding these differences helps in choosing the right career path or job search focus.

What are the most commonly searched types of Graphql jobs in New York?

The most popular types of Graphql jobs in New York are:

What cities in New York are hiring for Manager Graphql jobs?

Cities in New York with the most Manager Graphql job openings:

Infographic showing various Manager Graphql job openings in New York as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Python Agentic AI Engineer

2T Consulting

West Orange, 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