Senior Java Developer GenAI Microservices

Job title: Senior Java Developer GenAI & Microservices (8-10 YOE)

Location: Dallas, TX or Columbus, OH

Client: JPMC

Need candidates on our W2

Job 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.

Key Responsibilities

• 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.

Required Skills

• 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 GCP .
• 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.

Keywords: Java | Spring Boot | Microservices | System Design | Kafka | Python | GenAI | LLM | RAG | AI Agents | REST API | Cloud | Kubernetes