HOT HOT HOT - AI Assisted Full Stack Engineer (Java/ React) - Chicago, IL (Partail Remote)
** Would be open to a Sr level AL Engineer string Java backend and not full stack if that helps the search
Technical Stack
Full-Stack Required: Must have strong skills in both Java (backend) and 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.
COMPLETE JOB DESCRIPTION
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 - approved code suitable for deployment into production environments.
Responsible AI Usage
Specifically, the AI Engineer shall:
Use AI tools strictly as development accelerators, not as autonomous decision‑makers.
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 quality and security standards are met.
Providing regular status updates through Agile ceremonies and weekly reporting.
Demonstrating AI‑assisted development efficiencies and outcomes to Client stakeholders.
Desired Skills & Experience - Claude Code
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