AI-Powered Java Full Stack Engineer

We are seeking a highly skilled AI-powered Full Stack Engineer with strong expertise in Java, Python, Reactive Programming, and event-driven architectures. The ideal candidate will have hands-on experience building scalable microservices, streaming systems, and intelligent applications leveraging modern AI and conversational platforms. This role requires strong backend engineering capabilities along with exposure to AI/LLM-driven architectures and cloud-native systems. Key Responsibilities Design, develop, and maintain scalable full-stack applications using Java and Python Build reactive, high-performance backend systems using Spring Boot and WebFlux Develop and optimize event-driven architectures using Apache Kafka Work on real-time data streaming pipelines using Apache Flink Implement caching and performance optimization using Redis Design and develop RESTful APIs and integrate with external systems Work with NoSQL (MongoDB) and RDBMS (Oracle) databases Contribute to microservices architecture and cloud-native deployments Collaborate with AI/ML and platform teams to integrate LLM and agentic capabilities Participate in CI/CD pipeline development and DevOps practices Ensure system scalability, reliability, and performance Core Technical Skills Strong experience in Java (Spring / Spring Boot) 4–5 years of Python backend or data-driven development Deep understanding of Reactive Programming (WebFlux or equivalent) Hands-on experience with Apache Kafka for event-driven systems Experience with Apache Flink for stream processing Proficiency in Redis caching strategies Strong knowledge of MongoDB and Oracle databases Expertise in RESTful API design and integration GraphQL knowledge is a plus AI / Conversational Platform Exposure Understanding of Google Dialogflow CX or similar conversational AI frameworks Exposure to Large Language Models (LLMs) and prompt engineering Familiarity with agentic frameworks such as ADK (Agent Development Kit) or Playbook Conceptual knowledge of machine learning fundamentals and model telemetry Additional Skills Strong problem-solving and debugging abilities Experience with microservices architecture Familiarity with CI/CD pipelines and cloud platforms (OCP, Kubernetes, etc.) Excellent communication and cross-functional collaboration skills Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or related field Experience in banking, fintech, or digital assistant platforms is a plus