Java Full Stack Developer - Agentic AI / LLM Integration

ConglomerateIT LLC
Dallas, United States of America
8 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Dallas, United States of America

Tech stack

Java
Spring Security
API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Code Review
Encodings
Software Debugging
Distributed Systems
Fault Tolerance
Java Persistence API
MongoDB
NoSQL
Scrum
RabbitMQ
Message Oriented Middleware
Systems Integration
React
Large Language Models
Multi-Agent Systems
Prompt Engineering
Spring-boot
Backend
Build Management
Kafka
Front End Software Development
Virtual Agents
Api Gateway
REST
Domain Driven Design
GPT
Microservices

Job description

We're looking for a Java Full Stack Developer with deep backend engineering skills and real production experience embedding Large Language Model (LLM) capabilities into enterprise-grade applications. You'll architect scalable microservices with Spring Boot, design agentic AI workflows with LangChain4j or Spring AI, and own AI-powered features end to end - from React frontends to cloud-deployed backends. Expect to build resilient LLM integration patterns and set technical best practices across the team. What You'll Do Design and build scalable RESTful microservices and APIs in Java 17/21 and Spring Boot, applying cloud-native and domain-driven design principles. Architect LLM-powered features with LangChain4j or Spring AI - tool/function calling, agentic chains, RAG pipelines, and prompt engineering. Integrate LLM providers (OpenAI, Azure OpenAI, AWS Bedrock, Anthropic Claude) into production with proper guardrails, hallucination mitigation, and evaluation frameworks. Build fault-tolerant service integrations using Feign clients and Resilience4j (circuit breakers, retries, rate limiters) for reliability against upstream failures. Implement asynchronous workflows on Kafka (or similar); design job-ID-based async response patterns for long-running operations. Develop and maintain React front-end components that consume REST APIs and handle loading, error, and success states cleanly. Manage conversation state and session context in MongoDB or equivalent NoSQL stores to power 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., Founded in 2014, is a global leader in delivering innovative IT solutions and services. Headquartered in the USA with a presence in the UK, Canada, and India, we specialize in offering industry-leading expertise and cutting-edge products that help our clients maximize their technological investments. Our focus on best-in-class solutions, a highly knowledgeable team, and proactive talent mapping ensure we remain at the forefront of the IT industry., As a Senior Full Stack Engineer, you will play a pivotal role in shaping the future of AI systems by leveraging your technical expertise to develop and maintain robust web applicat…

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Requirements

8+ years of professional Java development; 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 agentic, tool-calling, or multi-step AI orchestration. Proficiency in front-end development with React.js - building, debugging, and optimizing component-based UIs and REST API integrations. Solid grasp of asynchronous messaging (Kafka, RabbitMQ), distributed systems patterns, and cloud deployment (AWS, Azure, or GCP). Ability to deploy and fine-tune LLM models on devices such as computers, routers, etc.; experience with Model APIs., ConglomerateIT is driven by our Center for Excellence and Innovation, an initiative dedicated to keeping us ahead in a rapidly evolving technology landscape. We understand that building strong relationships is key to our success, and this commitment has enabled us to partner with Fortune 500 companies and leading system integrators worldwide. Our ability to provide local talent on a global scale ensures that we can meet the contingent project requirements of our clients efficiently and effectively.

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