Full Stack Java Engineer (Java + React + AI Exposure) Richardson, TX – In person Interview

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

Richardson, TX – In person Interview

Onsite work – 5 days

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/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 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.