Principle Full Stack Java Engineer (Java + React + AI)

Job ID: Principal Full Stack Java Engineer (Java React AI)
Location: Richardson TX (Hybrid)

Duration: Long term contract

• Strong Java 17
• Spring Boot Microservices
• AWS/Azure
• SQL MongoDB/Elasticsearch
• OAuth2/OIDC/JWT
• Strong hands-on coding experience (not managerial)
• AI/LLM integrations Agentic Workflows or AI solution development

Role Overview:

• We are looking for a strong Full Stack Java Engineer who thrives as a utility player across a diverse and evolving technology stack. This is not a narrowly focused AI/ML role - instead we are seeking a highly capable engineer with deep Java full-stack expertise and practical exposure to agentic AI capabilities integrated into enterprise applications.

• The ideal candidate is a strong generalist who can comfortably work across legacy modernization initiatives modern front-end systems and emerging AI-driven workflows.

Key Responsibilities:

• Design develop and enhance enterprise-grade full-stack applications using Java and React.
• Modernize and maintain legacy Java-based systems while building scalable enhancements.
• Develop and support client-facing portals using React or similar modern front-end frameworks.
• Work across multiple technologies and systems in a polyglot engineering environment.
• Integrate AI/agentic capabilities into existing workflows and applications.
• Build and support lightweight Python-based AI integrations and automation components.
• Collaborate across engineering teams to evolve application architecture and platform capabilities.
• Contribute to technical design system integration debugging and performance optimization efforts.

Required Technical Skills:

• Full Stack Engineering (Primary Requirement)
• Strong hands-on experience in Java backend development.
• Proven expertise building and supporting complex full-stack applications.
• Strong experience with or comparable modern front-end frameworks.
• Experience working with enterprise applications spanning legacy and modern architectures.
• Comfortable navigating and contributing across multiple layers of the application stack.

Polyglot Engineering Capability:

• Ability to work across multiple languages and technology stacks.
• Comfortable contributing beyond a single-stack specialization.
• Strong engineering fundamentals with adaptability across evolving technologies.
• AI / Agentic Systems Exposure (Important Secondary Requirement)

We are not looking for:

• Pure AI/ML researchers or specialists.
• Deep model-training or core ML engineering profiles.
• Candidates limited exclusively to Python/LLM development.

We are looking for engineers who have:

• Experience integrating AI or agentic workflows into business applications.
• Practical exposure to Python-based custom development.
• Experience building AI-assisted workflows such as:
• OCR LLM-driven document extraction
• Validation against contracts leases or business rules
• Intelligent payment or invoice verification systems
• Agentic workflow orchestration
• Familiarity with Foundry-like or agentic development environments is a plus.

Preferred Candidate Profile:

We strongly prefer strong fungible engineering generalists who:

• Are exceptional Java React full-stack engineers.
• Can contribute to light-to-moderate AI/agentic engineering work.
• Are comfortable learning and expanding into emerging LLM/agentic ecosystems over time.
• Operate effectively across diverse and evolving enterprise systems.

What We Want to Avoid:

• Pure Java-only engineers unwilling to work across broader systems.
• Pure AI/ML specialists without strong full-stack engineering capability.
• Candidates unable to comfortably navigate full-stack enterprise applications.
• Highly narrow specialists with limited adaptability across technologies.

Primary Evaluation:

• Demonstrated expertise in Java React full-stack development on complex enterprise systems.

Secondary Evaluation:

• Evidence of integrating or building AI/agentic capabilities using Python or similar technologies.

Mindset & Engineering Style:

• Strong utility mindset.
• Flexibility and adaptability across technologies.
• Comfort operating in fast-evolving technical environments.