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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Java Developer - GenAI & Microservices - **Company:** Techgroup America Inc. - **Location:** Columbus, OH, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, User Authentication, Microsoft Azure, Cloud Computing, Continuous Integration, Software Design Patterns, DevOps, Distributed Systems, Python (Programming Language), Machine Learning, NoSQL, Performance Tuning, Software Engineering, Systems Integration, Data Processing, Google Cloud, Enterprise Software Applications, Large Language Models, Grafana, Multi-Agent Systems, Prompt Engineering, Spring-boot, Generative AI, Backend, Event Driven Architecture, AI Platforms, Kubernetes, Real Time Data, Apache Kafka, Machine Learning Operations, Virtual Agents, Api Design, Restful APIs, Dynatrace, Docker, Microservices - **Published:** August 14, 2026 - **Apply:** https://www.dice.com/job-detail/12aea85e-351b-4dee-ac58-940ca1c03d55 ## About the Role * 8+ years of experience in Java/J2EE application development. * Strong expertise in Java, Spring Boot, and Microservices Architecture. * Strong understanding of System Design, Distributed Systems, Design Patterns, and API Architecture. * Hands-on experience with Apache Kafka and event-driven architecture. * Strong Python programming experience, particularly for AI/GenAI integrations. * Experience designing or implementing GenAI architectures and LLM-based applications. * Knowledge of RAG, Vector Databases, Embeddings, Prompt Engineering, and AI Agents. * Experience integrating LLMs such as OpenAI, Gemini, Claude, Llama, or similar models. * Strong understanding of REST APIs, authentication, security, scalability, and performance optimization. * Experience with relational and/or NoSQL databases. * Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform. * Experience with Docker, Kubernetes, CI/CD, and modern DevOps practices is preferred. Preferred Skills * LangChain, LangGraph, LlamaIndex, or similar GenAI frameworks. * Vector databases such as Pinecone, Weaviate, Milvus, pgvector, or similar. * Experience building Agentic AI / Multi-Agent Systems. * Knowledge of AI/ML concepts and model deployment. * Experience with observability tools and distributed tracing. * Strong communication, problem-solving, and technical leadership skills. Ideal Candidate A strong candidate will be a Java/Spring Boot expert who also understands modern GenAI architecture, with the ability to bridge traditional enterprise microservices and emerging AI/LLM technologies. ## Description We are looking for an experienced Java Developer with strong expertise in System Design, Microservices, Spring Boot, Kafka, Python, and GenAI Architecture. The ideal candidate will be responsible for designing scalable, high-performance enterprise applications and integrating modern GenAI capabilities into distributed systems., * Design and develop scalable, resilient applications using Java, Spring Boot, and Microservices. * Own and contribute to high-level and low-level system design, architecture, and technical solutioning. * Design event-driven architectures using Apache Kafka for real-time data and asynchronous processing. * Develop secure and scalable REST APIs and backend services. * Design and implement GenAI/LLM-based architectures, including RAG, AI agents, model integration, and AI-powered enterprise solutions. * Work with Python for AI/ML integrations, automation, data processing, and GenAI application development. * Integrate LLMs and AI services with existing Java-based enterprise applications and microservices. * Evaluate and recommend appropriate technologies, frameworks, design patterns, and architectural approaches. * Drive performance, scalability, reliability, security, and observability across distributed systems. * Collaborate with product managers, architects, data engineers, ML engineers, and development teams. * Provide technical leadership, conduct code/design reviews, and mentor engineering teams. ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Java Meets AI: Empowering Spring Developers to Build Intelligent Apps](https://www.wearedevelopers.com/videos/1554-java-meets-ai-empowering-spring-developers-to-build-intelligent-apps) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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