Java Backend Developer with AI/DLC

Job Title: Java Backend Developer with AI/DLC Location: Austin, TX or Southlake, TX. Duration: 6 to 12 Months Employment Type: Contract-to-Hire Experience: 10+ Years Job Overview We are looking for an experienced Java Backend Developer with AI/DLC experience to design, develop, and maintain scalable backend applications and microservices. The ideal candidate will be a strong Java/Spring Boot backend engineer first , with hands-on experience using modern AI tools and Generative AI capabilities to improve software development, application modernization, coding productivity, testing, debugging, and solution design. The candidate should have strong experience with Java, Spring Boot, REST APIs, Microservices, Kafka, distributed systems, databases, and cloud technologies , along with practical exposure to AI-assisted development and GenAI technologies. Key Responsibilities: Java Backend Development Design, develop, and maintain scalable backend applications using Java and Spring Boot . Build and maintain RESTful APIs and microservices . Develop highly available and fault-tolerant backend services. Apply object-oriented programming, design patterns, and clean coding practices. Develop reusable and maintainable backend components. Participate in application modernization and migration initiatives. Microservices & Distributed Systems Design and develop distributed microservices architectures. Work with Kafka and event-driven architectures . Implement asynchronous processing, messaging, retries, error handling, and resiliency patterns. Troubleshoot performance and scalability issues across distributed systems. Participate in backend system design and architecture discussions. AI / DLC / AI-Assisted Development The candidate should be comfortable using AI-assisted development tools as part of the software engineering lifecycle. Experience with tools such as: GitHub Copilot Claude / Claude Code Cursor ChatGPT Gemini Other enterprise AI coding assistants Use AI capabilities for: Code generation and refactoring Debugging and troubleshooting Unit-test generation Code reviews Documentation Legacy code modernization Developer productivity Application migration and transformation API and microservice development Generative AI Exposure Experience with one or more of the following is preferred: Generative AI / LLMs Prompt engineering RAG - Retrieval-Augmented Generation Embeddings Vector databases LLM APIs AI-powered applications AI agents / Agentic AI LangChain / LangGraph MCP / Model Context Protocol The candidate does not need to be a pure AI/ML engineer . Strong backend engineering experience combined with practical AI exposure is the primary requirement. Cloud & DevOps Experience with one or more cloud platforms: AWS Azure Google Cloud Platform (Google Cloud Platform) Preferred experience: Docker Kubernetes Jenkins GitHub Actions GitLab CI/CD CI/CD pipelines Infrastructure/application deployment Cloud-native application development Database & Messaging Experience with: SQL databases PostgreSQL / MySQL / Oracle / SQL Server NoSQL databases Kafka Event-driven architecture Redis or similar caching technologies Required Technical Skills Must Have: Java 8/11/17/21 Spring Boot Spring Framework REST APIs Microservices Kafka Distributed systems Object-Oriented Programming SQL Git Unit testing Strong backend system design Strongly Preferred: AWS / Azure / Google Cloud Platform Docker / Kubernetes CI/CD Event-driven architecture NoSQL Performance optimization AI/DLC Experience: GitHub Copilot Claude Code Cursor ChatGPT Gemini Generative AI / LLMs RAG AI-assisted coding AI-powered application development Nice to Have: LangChain LangGraph MCP Agentic AI Vector databases Embeddings LLM evaluation AWS Bedrock / Azure OpenAI / Vertex AI