Lead Java Full Stack Developer – React & Agentic AI

Role – Lead Java Full Stack Developer – React & Agentic AI

Location: Dallas, TX (Onsite)

Duration: Full Time Only

Job Overview

We are looking for an experienced Lead Java Full Stack Developer with expertise in React and Agentic AI to lead the design, development, and implementation of modern, scalable enterprise applications. The ideal candidate will have strong hands-on experience in Java, Spring Boot, microservices, React.js, and emerging AI technologies, particularly Agentic AI, Large Language Models (LLMs), and AI-powered automation.

The candidate will be responsible for providing technical leadership, driving full-stack application development, and integrating intelligent AI agents into enterprise solutions to improve business processes, automation, and user experiences.

Key Responsibilities

• Lead the architecture, design, and development of enterprise-grade full-stack applications using Java, Spring Boot, React.js, and microservices.
• Drive technical implementation of scalable, secure, and high-performance backend services and responsive frontend applications.
• Design and develop RESTful APIs, microservices, and event-driven architectures.
• Lead the development and integration of Agentic AI solutions, including autonomous AI agents capable of reasoning, planning, decision-making, and executing multi-step workflows.
• Integrate LLMs such as OpenAI GPT, Azure OpenAI, Anthropic Claude, or other foundation models into enterprise applications.
• Build AI-powered applications using frameworks such as LangChain, LangGraph, Semantic Kernel, or AutoGen.
• Develop AI agent orchestration workflows, tool/function calling, Retrieval-Augmented Generation (RAG), and context management.
• Integrate vector databases and enterprise knowledge sources to support intelligent search and AI-driven decision-making.
• Collaborate with product managers, architects, data scientists, and business stakeholders to translate requirements into technical solutions.
• Establish coding standards, conduct code reviews, mentor developers, and drive engineering best practices.
• Lead CI/CD implementation, automated testing, containerization, and cloud-native deployments.
• Troubleshoot complex technical challenges and ensure application performance, reliability, scalability, and security.

Required Technical Skills

Java & Backend Development

• 10+ years of experience in software development with strong expertise in Java.
• Hands-on experience with Java 11/17 or above, Spring Boot, Spring MVC, Spring Security, and Hibernate/JPA.
• Strong experience in microservices architecture, REST APIs, and distributed systems.
• Experience with Kafka or other messaging technologies.
• Strong understanding of SQL/NoSQL databases.

Frontend Development

• Strong hands-on experience with React.js, JavaScript, TypeScript, HTML5, and CSS3.
• Experience developing reusable components, responsive interfaces, and state management solutions.
• Familiarity with Redux, Context API, or similar state management libraries.
• Experience integrating React applications with backend REST APIs and AI-powered services.

Agentic AI & Generative AI

• Hands-on experience designing and developing Agentic AI applications and autonomous AI agents.
• Strong understanding of LLMs, prompt engineering, and AI orchestration.
• Experience with frameworks such as LangChain, LangGraph, AutoGen, or Microsoft Semantic Kernel.
• Experience implementing RAG pipelines, embeddings, vector databases, and semantic search.
• Knowledge of AI agent tool calling, function calling, multi-agent collaboration, and workflow orchestration.
• Experience integrating OpenAI, Azure OpenAI, Anthropic, or similar LLM platforms.
• Understanding of AI guardrails, responsible AI, evaluation, observability, and security.

Cloud & DevOps

• Experience with AWS, Azure, or Google Cloud Platform.
• Hands-on experience with Docker, Kubernetes, and CI/CD pipelines.
• Familiarity with Git, Jenkins, GitHub Actions, or Azure DevOps.
• Experience with monitoring, logging, and application performance optimization.

Preferred Qualifications

• Experience leading enterprise-level digital transformation or AI modernization initiatives.
• Experience building production-grade Agentic AI solutions and deploying them at scale.
• Knowledge of MCP (Model Context Protocol) and AI agent interoperability.
• Experience with enterprise authentication and authorization frameworks.
• Strong understanding of secure AI application development and data privacy.
• Excellent communication, stakeholder management, problem-solving, and technical leadership skills.