Staff SW Engineer (7-10 years exp, Java/Python, RAG, GenAI Development)

Qualifications

• Basic Qualifications:
• 7-10 years of relevant work experience with a Bachelor’s Degree or with an Advanced degree
• Self-driven and willing to work across technologies/languages.
• Expert-level skills in Java or Python with skills in C++ and C# is a bonus.
• Experience in building Generative AI applications, conversational AI, RAG architectures, techniques and libraries
• In-depth understanding of NLP including tokenization, word embeddings, and basic sequence models.
• Understanding of model compression techniques and their trade-offs
• Awareness of transfer learning concepts and their applications
• Familiarity with common robustness issues in AI systems
• Proficiency in front-end web development technologies like ReactJS/Angular/NodeJS.
• Ability to work with large datasets and perform exploratory data analysis
• Experience with data preprocessing, feature engineering, and model evaluation techniques
• Experience in configuring build and deployment systems Docker, Jenkins, and Kubernetes.
• Expertise in handling multi-threading, concurrency, and error-handling.
• Demonstrated proficiency in troubleshooting, root-cause analysis, application design, and implementing large components for enterprise projects.
• Knowledge of version control, CI/CD pipelines, and best practices for ML model deployment
• Ability to design and implement AI components and integrate them into larger systems
• Proven track record of leading AI projects from conception to deployment
• Deep understanding of the latest AI research and industry trends
• Ability to design and implement full-stack AI systems that integrate with existing business processes
• Experience in designing robust AI systems that can handle distribution shifts and adversarial attacks
• Ability to lead cross-functional teams and communicate complex AI concepts to non-technical stakeholders
• Working knowledge using distributed in-memory computing technologies like Redis.
• Understanding enterprise security, certificate management, etc.
• Hands-on experience with Jenkins and container deployment architecture.
• Experience using OAuth2.0, SSO, and authentication methods/protocols.
• Expertise in application security, SSDLC, and knowledge of cryptography fundamentals.
• Preferred Qualification:
• Proficiency in implementing and fine-tuning AI models using popular frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
• Familiarity with deep learning basics, including neural network architectures and training procedures
• Exposure to leading-edge areas such as Machine Learning, Deep Learning, Stream Computing and MLOps.
• Experience in the payments tech industry is a plus.
• Visa is an EEO Employer
• Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.