Description

Key Responsibilities:

• Good understanding of Client Dialogflow CX or similar conversational AI frameworks.
• Exposure to LLM (Large Language Models), agentic architectures, and prompt engineering concepts.
• Familiarity with ADK (Agent Development Kit), Playbook, or similar agentic frameworks.
• Conceptual understanding of machine learning fundamentals and model telemetry.

Key Requirements and Technology Experience:

• Must have skills: Java, Spring, Kafka, Springboot, Microservices, REST API.
• 6-8 years of strong experience in Java development, including proficiency in Spring / Spring Boot.
• 2-3 years of experience with Python, focused on backend or data-driven development.
• Deep understanding of Reactive Programming (WebFlux, etc.)
• Hands-on experience with Apache Kafka for event-driven architectures.
• Experience with Flink for stream processing and data pipelines.
• Proficiency in Redis for caching and performance optimization.
• Database expertise in both MongoDB (NoSQL) and Oracle (RDBMS).
• Strong experience in building and consuming RESTful APIs.
• GraphQL knowledge is good to have but not mandatory.
• Strong problem-solving and debugging skills.
• Experience with microservices architecture, CI/CD pipelines, and cloud-native environments (OCP, Kubernetes, etc.).
• Excellent communication skills; ability to collaborate across engineering and product teams. 
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Prior experience in banking, fintech, or digital assistant platforms is an advantage

Key Skills

Education

Any Graduate