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The role also involves leveraging Generative AI capabilities to enhance data intelligence, automation, and user-facing features, while ensuring regulatory compliance and secure financial transactions.\n\nKey Responsibilities\nDesign, develop, and maintain scalable backend services and APIs using NodeJS and Python\nBuild event-driven architectures using RabbitMQ and Kafka for real-time data processing\nDevelop and manage data pipelines integrating PostgreSQL and BigQuery for analytics and warehousing\nIntegrate and deploy Generative AI models (LLMs, embeddings, AI APIs) into backend systems for automation, insights, and intelligent workflows\nDesign AI-powered features such as recommendation systems, document processing, or conversational interfaces\nEnsure system reliability, security, and low-latency performance for mission-critical systems\nLead technical design discussions, conduct code reviews, and mentor junior engineers\nOptimize database queries, implement caching strategies, 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practices\nExperience with Git, CI/CD pipelines, and modern development workflows\nExcellent problem-solving and debugging skills\nExposure to fintech or financial services, cloud platforms (GCP/AWS/Azure), Docker/Kubernetes, caching tools (Redis/Memcached), and regulatory requirements (KYC, compliance, data privacy) is a plus\n\nApply directly at: https://wohlig.keka.com/careers/jobdetails/136351\nSkills\nNodeJS (Node.js), Generative 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