AI/Java Engineer

New York Technology Partners; United States; On-site; USD 120,000 - 150,000; Full time

Job summary

New York Technology Partners is looking for a Senior Full Stack Java Developer with strong AI engineering skills to develop enterprise applications. This position requires deep expertise in Java alongside experience with AI-driven solutions.

The ideal candidate will design and build AI solutions, review AI-generated code, and enhance backend applications using Java and Spring. Familiarity with cloud platforms and DevOps practices is also essential.

Qualifications

• 5+ years of experience in software development with a strong focus on Java.
• Experience with AI integration in enterprise applications.
• Familiarity with agentic AI principles.

Responsibilities

• Design, build, and manage AI solutions for software development.
• Review AI-generated code ensuring quality and security.
• Drive AI-assisted development practices adhering to standards.
• Develop backend applications using Java and Spring architecture.

Skills

RESTful API design and development

JPA / Hibernate

Kubernetes and containerized deployments

Integrating AI/LLM capabilities

Agentic AI design and implementation

Python for AI agents

Using Claude, Codex SDK and other leading AI tools

Public cloud platforms (AWS, Azure, GCP)

CI/CD pipelines and DevOps practices

Job description

We are seeking a Senior Full Stack Java Developer with strong AI engineering capabilities to design, develop, and enhance enterprise-grade applications integrated with modern AI and LLM capabilities. This role blends deep Java expertise with hands-on experience building agentic AI-driven solutions to accelerate software delivery and automation.

Responsibilities

• Design, build, and manage agentic AI solutions supporting software development, automated testing, and deployment workflows
• Review, validate, and harden AI-generated code to ensure production-grade quality, security, and performance
• Drive adoption of AI-assisted development practices while maintaining enterprise engineering standards
• Develop and enhance enterprise-grade backend applications using Java and Spring-based architecture with integrated AI capabilities

Required Skills

• RESTful API design and development
• JPA / Hibernate
• Kubernetes and containerized deployments

AI & LLM

• Strong experience integrating AI/LLM capabilities into enterprise applications
• Agentic AI design and implementation (agents, workflows, orchestration)
• LangGraph and Model Context Protocol (MCP)
• Python (for AI agents, orchestration, or tooling)
• Claude, Codex SDK, and other leading AI tools

Infrastructure & DevOps

• Public cloud platforms (AWS, Azure, or GCP)
• CI/CD pipelines and DevOps practices

Nice to Have

Healthcare industry experience is a plus but not required.