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