AI Assisted Fullstack Java Engineer
Enexus Global Inc.
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Descripción de la vacante
Enexus Global Inc. seeks a US-based AI assisted full-stack engineer to accelerate design, development, refactoring, and hardening of software components using AI tools. You will deliver high-quality, secure code in Java and/or React within a hybrid Chicago-based team.
The role requires hands-on engineering, strong AI tool experience with Claude and Cursor, and collaboration with CNA product owners and engineers in an Agile setting.
Formación
- Proficient in Java backend development with strong AI integration capabilities.
- Experience building full-stack apps using React or similar frontend frameworks.
- Demonstrated experience using AI development tools (Claude, Cursor) to accelerate delivery.
- Active participation in Agile ceremonies and delivery processes.
Responsabilidades
- Contribute across the full software lifecycle: design, development, refactoring, testing, and production hardening of Java and/or React components.
- Collaborate with product owners, architects, and engineering teams to deliver AI-augmented solutions.
- Follow CNA engineering, security, and operational standards at all times.
- Provide leadership in evaluating AI-generated artifacts for production readiness.
Conocimientos
Herramientas
Descripción del empleo
Chicago, IL (hybrid) - 2 days on site
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.
MUST- Back end Java Required: Must have strong skills in Java (backend) and AI
PLpreferred-React (frontend).
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.
Mandatory AI Skills: The candidate must come in with existing AI development experience (specifically mentioning Claude or similar tools).
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.
- 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.
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.
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.
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.
- 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.
- 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.
- 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.
- 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.
- 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.
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