(Full Stack – Generative AI)

Core Skill Requirements

• 6–8 years of strong experience in Java development, including proficiency in Spring / Spring Boot.
• 4–5 years of experience with Python, focused on backend or data-driven development.
• Deep understanding of Reactive Programming (Web Flux, 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.
• Graph-QL knowledge is good to have but not mandatory.

AI / Conversational Platform Exposure

• Good understanding of Google Dialog-flow 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.

Additional Skills

• 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.

Preferred Qualifications

• 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

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