Java AI Developer

ob Position - Java AI Engineer

Location - Onsite in Charlotte, NC or Plano, TX

Experience - 8+ years of experience

Required VISA - USC , GC , GC-EAD, H4 - EAD

Salary - Upto 130k/ Yr + Benefits ( Flexible for right candidate )

Job Type - Full Time - Permanent Job

Note - This is a Perm Full time role, so no C2C, W2 workable for this role.

Small Job Summary:

We are looking for a senior Java Full Stack Engineer who can build enterprise-grade applications and bring agentic AI into production.

The ideal candidate combines strong Java/Spring and Angular fundamentals with hands-on experience delivering AI agents, Retrieval-Augmented Generation (RAG) solutions, and AI-assisted development using GitHub Copilot.

The candidate must also bring a security-first mindset, with practical exposure to identifying and fixing application vulnerabilities in a regulated enterprise environment

Technical leadership across multiple engineering teams without relying solely on formal authority.

Ability to translate security and platform risks into prioritized engineering roadmaps.

Executive-ready communication, stakeholder alignment, and cross-functional decision-making.

Mentoring, engineering standard adoption, change leadership, and delivery governance.

Must have

• Strong Java Full Stack development experience.
• Java / J2EE.
• Spring Boot.
• Microservices.
• Angular / React.
• Enterprise-level application development.
• Enterprise-grade integration experience.
• Strong understanding of application deployment and production readiness.
• Primary focus should be Java full stack, middleware, and front end .
• Some backend knowledge is needed, but deep backend specialization is not the primary focus .
• Exact Java version used by the customer is not confirmed, but candidates should have experience with recent/latest Java versions .

Agentic AI / RAG Strong preference for candidates who combine Java Full Stack development with Agentic AI experience.

Preferred

• Hands-on Agentic AI experience.
• Building or implementing AI agents in enterprise applications.
• RAG (Retrieval-Augmented Generation) experience is also acceptable.
• Other related AI/LLM experience can be considered, but Agentic AI is preferred .
• Looking for practical enterprise AI experience , not just theoretical knowledge.
• Claude-specific skills are not what the team is looking for.

GitHub Copilot / AI-Assisted Development

• Practical, hands-on GitHub Copilot experience is preferred.
• Should have experience actually leveraging Copilot during software development.
• Experience using GitHub Copilot or another LLM for vulnerability management, code remediation, or similar engineering activities would add value.

Security / Vulnerability Management

Preferred experience includes

• Identifying application vulnerabilities.
• Code remediation.
• Using AI/LLM tools to assist with vulnerability remediation.
• Security-first development within an enterprise/regulated environment .

Leadership Expectations

• Technical leadership across multiple engineering teams without relying solely on formal authority.
• Translating security and platform risks into prioritized engineering roadmaps.
• Executive-level communication and stakeholder alignment.
• Cross-functional decision-making.
• Mentoring and engineering standards adoption.
• Change leadership and delivery governance.