AI Assisted Full Stack Java Engineer

Experience Level: Senior. The client needs someone who already has the experience to hit the ground running (they felt a previous candidate, Tyler, needed more time to reach this level).
Working Style: Highly self-sufficient and hands-on. While they will drive the team forward, this is an individual contributor role, not a formal lead.

Technical Stack
MUTS- Back end Java Required: Must have strong skills in Java (backend) and AI
PLUS/preferred-React (frontend).
Engineering Fundamentals: Must have a strong grasp of design patterns, the ability to take specifications and deliver a finished product, and the engineering maturity to evaluate the quality of AI-generated code.

AI Expertise
Mandatory AI Skills: The candidate must come in with existing AI development experience (specifically mentioning Claude or similar tools).
Why it's crucial: The client has limited resources and AI licenses, so they cannot afford the overhead of training someone on AI from scratch. The engineer's job will be to help build out the company's AI competency.

We are looking for a US based AI Assisted Full Stack Engineer with demonstrated experience leveraging AI assisted development tools, including Anthropic Claude and Cursor, to accelerate design, development, refactoring, and hardening of software components while maintaining high standards of quality, security, and maintainability.
Required Skills - • Demonstrate effective and responsible use of AI assisted development tools (including Claude and Cursor)
• Actively contribute across the full software development lifecycle, including design, development, refactoring, testing, and production hardening of Java and/or React based components.
• Collaborate closely with product owners, architects, and engineering teams.
• Participate fully in Agile ceremonies and delivery processes.

Job Duties - Sr level Engineer who can guide team on approaches to take to build confidence on the artifacts built by Claude to making them high quality production ready assets.
Job Requirements -
US based AI Assisted Full Stack Engineer with demonstrated experience leveraging AI assisted development tools, including Anthropic Claude and Cursor, to accelerate design, development, refactoring, and hardening of software components while maintaining high standards of quality, security, and maintainability.

The AI Engineer is expected to apply an experienced, production focused approach, using AI tools as accelerators—not replacements for engineering judgment—to deliver CNA approved code suitable for deployment into production environments.
Job Responsibilities

Job Requirements -
US based AI Assisted Full Stack Engineer with demonstrated experience leveraging AI assisted development tools, including Anthropic Claude and Cursor, to accelerate design, development, refactoring, and hardening of software components while maintaining high standards of quality, security, and maintainability.

The AI Engineer is expected to apply an experienced, production focused approach, using AI tools as accelerators—not replacements for engineering judgment—to deliver CNA approved code suitable for deployment into production environments.


AI Assisted Full Stack Engineer
The AI Assisted Full Stack Engineer shall:
Be a senior, hands on engineer with prior experience delivering production systems in enterprise environments.
Demonstrate effective and responsible use of AI assisted development tools (including Claude and Cursor) to:
Accelerate development cycles
Improve code quality and maintainability
Reduce rework introduced during review, testing, and production readiness phases
Actively contribute across the full software development lifecycle, including design, development, refactoring, testing, and production hardening of Java and/or React based components.
Collaborate closely with CNA product owners, architects, and engineering teams.
Participate fully in CNA Agile ceremonies and delivery processes.
Follow CNA engineering, security, architecture, and operational standards at all times.
Production Readiness and Quality Standards
All code and artifacts delivered under this SOW must be production ready and adhere to CNA development and operational standards, including but not limited to:
Secure coding and data protection practices
Clean, readable, and maintainable code structure
Appropriate error handling, logging, and resilience patterns
Performance considerations appropriate to scale and usage
Unit and/or component level test coverage aligned with CNA expectations
Compatibility with CNA CI/CD pipelines, deployment standards, and operational monitoring
AI assisted outputs must be fully understood, reviewed, and owned by the Supplier Personnel delivering the work.

Responsible AI Usage
Specifically, the AI Engineer shall:
Use AI tools strictly as development accelerators, not as autonomous decision makers.
Ensure no CNA confidential, proprietary, regulated, or sensitive data is exposed to external AI systems beyond what is explicitly approved by Client.
Be able to explain, review, modify, and justify all AI assisted outputs.
Document material design or implementation decisions where AI assisted approaches significantly influenced outcomes.
Knowledge Transfer and Enablement
Demonstrating effective, responsible usage of AI assisted development tools in day to day delivery.
Sharing best practices for prompt engineering, iterative refinement, AI assisted refactoring, and quality assurance.
Participating in knowledge transfer sessions, walkthroughs, or enablement discussions as requested by Client.

Work related tasks may include, but are not limited to, the following activities:
Collaborating with Client stakeholders to gather technical and functional inputs required for component delivery.
Developing and executing delivery plans aligned with agreed scope and priorities.
Designing, building, refactoring, and hardening Java and/or React based components using AI assisted techniques.
Supporting and participating in code reviews, ensuring CNA quality and security standards are met.
Providing regular status updates through CNA Agile ceremonies and weekly reporting.
Demonstrating AI assisted development efficiencies and outcomes to Client stakeholders.