Senior Software Engineer - GenAI

Visa-posted 4 months ago
$105,800 - $149,550/Yr
Full-time • Entry Level
Hybrid • Bellevue, WA
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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. 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.
  • 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.
  • 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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