AI Assisted Full Stack Engineer

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.
• Desired Skills & Experience - Claude Code(Highly desired)