Hi ,Greetings from Smart Work IT Services.
Title: Full Stack Java Engineer (Java + React + AI Exposure)Location: Dallas, TX - In Person Interview (Final Level) - OnsiteKey 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 SkillsFull 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:โข Experience integrating AI or agentic workflows into business applications.
โข Practical exposure to Python-based custom development.
โข 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
โข 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.
Evaluation CriteriaPrimary 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.