What are the responsibilities and job description for the AI Fullstack Engineer position at New York Technology Partners?
We are looking for an AI Fullstack Engineer to build and scale modern applications while driving adoption of AI-assisted development practices. This role combines strong backend engineering in Java with front-end development and hands-on experience leveraging AI tools to accelerate the software development lifecycle.
Key Responsibilities:
- Design and develop scalable backend services and APIs using Java and Spring Boot in an AWS environment
- Build and maintain CI/CD pipelines, infrastructure-as-code, and containerized deployments
- Contribute to React-based front-end applications for internal tools and dashboards
- Implement high-performance, thread-safe solutions using Java concurrency and design patterns
- Champion AI-augmented development practices, leveraging tools like GitHub Copilot and Claude
- Define best practices for prompt engineering, AI-assisted coding, testing, and documentation
- Support integration and adoption of enterprise AI platforms (e.g., Microsoft Foundry)
- Collaborate across teams to ensure high-quality, reliable, and scalable solutions
Required Skills & Experience:
- 5 years of Java development with strong expertise in Spring Boot, multithreading, and design patterns
- Hands-on experience with AWS, CI/CD pipelines, and containerized deployments
- Proven experience using AI coding assistants in real-world development environments
- Understanding of AI-driven SDLC practices (prompting, code generation, testing, and automation)
- Strong knowledge of APIs, system integrations, and modern development workflows
Preferred Skills:
- Experience with React and modern front-end development
- Familiarity with Azure AI / Microsoft Foundry
- Exposure to event-driven architectures or messaging systems
- Working knowledge of Python for scripting or data workflows
What We’re Looking For:
- A hands-on builder with practical experience using AI tools to improve development efficiency
- Strong engineering fundamentals with a forward-looking mindset on AI-driven development
- Clear communicator who can translate AI capabilities into actionable team practices
- Ownership mindset with a focus on delivery, quality, and continuous improvement