Title: Full Stack Java Engineer (Java + React + AI Exposure)
Location: Richardson, TX
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 React.js 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/d 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.
Evaluation Criteria
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.
- Preference for broad engineering capability over narrow specialization.