Full Stack Java Engineer

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 ResponsibilitiesDesign, 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 CapabilityAbility 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 ForPure 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 HaveExperience integrating AI or agentic workflows into business applications.Practical exposure to Python-based custom development.Experience Building AI-assisted Workflows Such AsOCR + LLM-driven document extractionValidation against contracts, leases, or business rulesIntelligent payment or invoice verification systemsAgentic workflow orchestrationFamiliarity with Foundry-like or agentic development environments is a plus.Preferred Candidate ProfileWe 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 AvoidPure 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 EvaluationDemonstrated expertise in Java + React full-stack development on complex enterprise systems.Secondary EvaluationEvidence of integrating or building AI/agentic capabilities using Python or similar technologies.Mindset & Engineering StyleStrong utility mindset.Flexibility and adaptability across technologies.Comfort operating in fast-evolving technical environments.Preference for broad engineering capability over narrow specialization.