Sr. Software Engineer

Responsibilities: Design and implement AI-enabled software using generative AI, conversational AI, and RAG Integrate AI components into large platforms with focus on data prep, deployment, monitoring, and improvement Collaborate with Product Office, Operations & Infrastructure, Cybersecurity, Client Support, and Product Development teams Continuously learn and share knowledge on GenAI, ML, and modern engineering practices Develop client-centric solutions on Payment Product platforms and refine based on feedback Contribute to API design and development to improve cross-application integration Advance technology modernization by adopting best-in-class solutions Improve development processes and tooling, including responsible use of AI-assisted engineering Automate development, testing, deployment, and maintenance with rigorous reviews Support incident, change, and problem management to sustain high availability

Key requirements: Expert-level skills in Java, Python, and Node.js; C++ or C# a plus Experience building Generative AI applications, conversational AI, and RAG architectures 2+ years of relevant work experience with a Bachelor's, OR 5+ years of relevant work experience Strong understanding of NLP concepts, model evaluation, and deployment pipelines Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn) and model fine-tuning Knowledge of distributed systems, security, and enterprise software deployment Experience with Docker, Jenkins, Kubernetes; CI/CD pipelines Familiarity with Redis, OAuth 2.0, SSO, and encryption basics Ability to validate AI-generated outputs and maintain responsible-use of AI Self-driven and adaptable Cross-functional collaboration Strong problem-solving and analytical thinking Java, Python, Node.js Generative AI, conversational AI, RAG TensorFlow, PyTorch, scikit-learn