Cognizant is hiring For Java with Gen AI developers

Job Summary:

We are seeking an experienced Java Developer with strong expertise in Generative AI (Gen AI) and Apache Kafka to join our team. The ideal candidate should have 6-10 years of experience in designing, developing, and implementing scalable enterprise applications using Java technologies, while leveraging Gen AI capabilities and event-driven architectures. The candidate will play a key role in developing innovative AI-powered solutions and high-performance distributed systems.

Key Responsibilities:

• Design, develop, and maintain enterprise-grade applications using Java/J2EE technologies.
• Build and integrate Generative AI solutions using LLMs, prompt engineering, RAG frameworks, and AI APIs.
• Develop microservices-based applications using Spring Boot and Spring Cloud.
• Design and implement event-driven architectures using Apache Kafka.
• Develop and optimize Kafka producers, consumers, and stream-processing applications.
• Integrate AI/ML services with enterprise applications.
• Collaborate with cross-functional teams to gather requirements and deliver scalable solutions.
• Troubleshoot, debug, and optimize application performance.
• Ensure adherence to coding standards, security guidelines, and best practices.
• Participate in code reviews, architecture discussions, and technical mentoring activities.

Required Skills

Core Java Skills

• Java 8/11/17
• Spring Boot, Spring MVC, Spring Security
• Microservices Architecture
• RESTful APIs and Web Services
• Hibernate/JPA
• Design Patterns and Object-Oriented Programming

Gen AI Skills

• Experience working with Generative AI solutions
• Knowledge of LLMs such as OpenAI GPT, Azure OpenAI, Gemini, Claude, or equivalent
• RAG (Retrieval-Augmented Generation) implementations
• Prompt Engineering
• LangChain, LlamaIndex or similar frameworks
• AI model integration using APIs and SDKs

Cloud & DevOps

• Azure / AWS / GCP
• Docker and Kubernetes
• CI/CD Pipelines
• Git, Maven, Jenkins

Preferred Qualifications

• Experience in building AI-powered enterprise applications.
• Exposure to vector databases such as Pinecone, ChromaDB, FAISS, or Azure AI Search.
• Knowledge of Machine Learning concepts and AI application deployment.
• Experience working in Agile/Scrum environments.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management skills.