Java AI Developer

ClifyX Inc; Plano (TX); On-site; USD 117,000 - 143,000; Full time

Job summary

ClifyX Inc in Plano, TX is seeking a senior Java Full Stack Engineer to build enterprise-grade apps and integrate Agentic AI into production. The role requires 8+ years of experience, Java/Spring, Angular/React, and a security‑first mindset for a regulated enterprise.

Candidates should be comfortable with on-site work in Plano or Charlotte, USC/GC visa eligibility, and a salary up to $130k annually plus benefits. This is a permanent full-time role; no C2C, W2 structures acceptable.

Qualifications

• 8+ years of experience in software development.
• Strong Java/Spring and Angular fundamentals.
• Hands-on experience with AI agents, RAG, and Copilot in production.
• Security‑first mindset for enterprise environments.

Responsibilities

• Build enterprise-grade applications with Java Full Stack.
• Lead multiple engineering teams and drive governance.
• Translate security and platform risks into roadmaps.
• Mentor teams and promote engineering standards.

Skills

Java full stack

Security‑first development

Technical leadership

AI agent experience

Tools

GitHub Copilot

Angular

React

Spring Boot

Microservices

Job description

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:

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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:

• Spring Boot.
• Microservices.
• Angular / React.
• 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.
• 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.
• 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.
• Mentoring and engineering standards adoption.
• Change leadership and delivery governance.