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Tier-1 brand and generalist 'Software Engineer' title increase competition, balanced by AI specialization.
Specialized ML, RAG, and enterprise security requirements give moderate cross-industry transferability.
Explicit 7-10 years plus mandatory ML, full-stack, security, and devops skills create high screening filters.
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Design, develop, and implement innovative software solutions leveraging generative AI and modern integration patterns within the Value-Added Services (VAS) platform.
Collaborate with cross-functional teams across Product, Operations, Cybersecurity, and Client Support to deliver complex AI-enabled projects integrating new technologies and existing platforms.
Lead engineering efforts ensuring software quality, security, scalability, and incident/change management while contributing to technology modernization and process improvement.
7-10 years of relevant work experience with a Bachelor’s or higher degree.
Expert-level proficiency in Java or Python; knowledge of C++ and C# is a bonus.
Experience building generative AI applications with expertise in RAG architectures, NLP techniques, and AI model deployment.
Proficiency with front-end frameworks (ReactJS/Angular/NodeJS), Docker, Jenkins, Kubernetes, version control, CI/CD pipelines, and enterprise security fundamentals including OAuth2.0 and cryptography.
Candidate who has led AI projects end-to-end including conception, design, and deployment of robust, enterprise-scale AI systems.
Strong software engineering skills usable in multi-threading, concurrency, automation, and handling large datasets with exploratory data analysis and feature engineering.
Experience operating within cross-functional teams in complex environments integrating advanced AI, security, and payments technologies with a delivery-focus mindset.