Senior Software Engineer - GenAI

Visa-posted 3 months ago
$105,800 - $149,550/Yr
Full-time • Entry Level
Hybrid • Bellevue, WA
5,001-10,000 employees
Credit Intermediation and Related Activities
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Visa's Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. We are seeking a talented and motivated Software Engineer to join our VAS Innovation team. As a key member of the team, you will play a critical role in developing cutting-edge solutions, leveraging innovative technologies, and enhancing the capabilities of our Value-Added Services (VAS) platform.

  • Engage in the design, development, and implementation of innovative software solutions, using generative AI and modern integration patterns.
  • Collaborate with cross-functional teams to develop and deliver complex projects that integrate emerging technologies with our existing platforms.
  • Engage in continuous learning and development, actively seeking opportunities to enhance your skills and knowledge.
  • Develop solutions with a client-centric mindset, ensuring that the VAS platform delivers exceptional value and innovation.
  • Contribute to the design and development of APIs that enhance the integration of our Value-Added Services applications, platforms, and solutions.
  • Participate in the advancement of our modernization roadmap by adopting best-in-class technology solutions for our core platform.
  • Continuously assess and improve technology stacks, development processes, and methodologies to enhance productivity, quality, and time-to-market.
  • Adhere to industry best practices in software development, emphasizing quality, security, performance, scalability, availability, and resilience.
  • Implement best engineering practices and automate software development, testing, and deployment processes.
  • Support incident management, change, and problem management processes to ensure the high availability and reliability of our services.
  • 2+ years of relevant work experience and a Bachelor's degree, OR 5+ years of relevant work experience.
  • Expertise in one or more general development languages (e.g., Java, Python, NodeJS, C#, C++).
  • Experience building and deploying modern services and web applications with quality and scalability.
  • Constant drive to learn new technologies such as GenAI, Angular, React, Kubernetes, Docker, etc.
  • Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams.
  • 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD).
  • 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.
  • Proficiency in implementing and fine-tuning AI models using popular frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Understanding of model compression techniques and their trade-offs.
  • Awareness of transfer learning concepts and their applications.
  • Ability to design and implement AI components and integrate them into larger systems.
  • Familiarity with common robustness issues in AI systems.
  • Exposure to leading-edge areas such as Machine Learning, Deep Learning, Stream Computing and MLOps.
  • Proficiency in front-end web development technologies like ReactJS/Angular/NodeJS.
  • 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.
  • Familiarity with deep learning basics, including neural network architectures and training procedures.
  • 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.
  • Experience in the payments tech industry is a plus.
  • Medical
  • Dental
  • Vision
  • 401 (k)
  • FSA/HSA
  • Life Insurance
  • Paid Time Off
  • Wellness Program
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