Job Title: Java AI Developer (Backend & AI/LLM)
Location: Irving, TX (Hybrid)
Duration: 12+ Months
Job Description:
We are seeking a Java Full Stack Developer with hands-on backend engineering depth and demonstrated experience integrating Large Language Model (LLM) capabilities into enterprise-grade applications. You will architect and build scalable microservices using Spring Boot, design agentic AI workflows using LangChain4j or Spring AI, and contribute across the full stack from React-based frontends to cloud-deployed backends. You will own end-to-end feature delivery for AI-powered modules, implement resilient LLM integration patterns, and drive technical best practices across the team.
Key Responsibilities:
• Design and develop scalable RESTful microservices and APIs using Java 17/21 and Spring Boot, following cloud-native and domain-driven design principles.
• Architect and implement LLM-powered features using LangChain4j or Spring AI — including tool/function calling, agentic chains, RAG pipelines, and prompt engineering.
• Integrate LLM providers (OpenAI, Azure OpenAI, AWS Bedrock, or Anthropic Claude) into production systems with proper guardrails, hallucination mitigation, and evaluation frameworks.
• Build fault-tolerant service integrations using Feign clients and Resilience4j (circuit breakers, retries, rate limiters) to ensure system reliability against upstream failures.
• Implement asynchronous workflows using Kafka or similar messaging platforms; design job-ID-based async response patterns for long-running operations.
• Develop and maintain React-based front-end components, consuming REST APIs and handling loading, error, and success states cleanly.
• Manage conversation state and session context in MongoDB or equivalent NoSQL stores to enable multi-turn AI interactions and follow-up reasoning.
• Collaborate with product, QA, and platform teams in Agile sprints; contribute to design reviews, code reviews, and technical documentation.
Required qualifications:
• 8+ years of professional software development experience with Java; strong command of Java 17/21 features including virtual threads and modern concurrency patterns.
• Proven expertise with Spring Boot, Spring Security, Spring Data JPA, and microservices architecture; experience with API Gateway patterns and JWT-based authentication.
• Hands-on experience integrating LLMs via APIs (OpenAI, Azure OpenAI, AWS Bedrock, or Anthropic); practical knowledge of prompt engineering, RAG, embeddings, and vector databases.
• Experience with LangChain4j, Spring AI, or equivalent Java-native LLM frameworks for building agentic, tool-calling, or multi-step AI orchestration workflows.
• Proficiency in front-end development using React.js; ability to build, debug, and optimize component-based UIs and REST API integrations.
• Solid understanding of asynchronous messaging (Kafka, RabbitMQ), distributed systems patterns, and cloud deployment (AWS, Azure, or Google Cloud Platform)
• Ability to deploy and fine tune AI LLM models on devices like computers , routers etc.….Experience in Model API’s.
