Senior Software Engineer

Visa Visa · Fintech · Bengaluru, India, IN

Senior Software Engineer at Visa, focusing on building and deploying AI-powered solutions within enterprise fintech environments. The role involves prompt engineering, tooling orchestration for AI agents, and applying generative AI concepts like NLP and multimodal AI to production systems. Experience with cloud-native DevOps and agile methodologies is expected.

What you'd actually do

  1. Design code and systems that touch 40% of the world population while influencing Visa’s internal standards for scalability, security, and reusability
  2. Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings
  3. Actively contribute to product quality improvements, valuable service technology, and new business flows in diverse agile squads
  4. Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions.
  5. Leverage innovative technologies to build the next generation of Payment Services, Transaction Platforms, Real-Time Payments, and Buy Now Pay Later Technology

Skills

Required

  • Python
  • Node.js
  • JavaScript
  • Generative AI
  • prompt engineering
  • tooling orchestration
  • NLP
  • multimodal AI
  • AI-powered developer tools
  • AWS
  • Kubernetes
  • Docker
  • CI/CD pipelines
  • infrastructure-as-code
  • agile product-centric environments

Nice to have

  • Angular
  • React

What the JD emphasized

  • Experience leading technical strategy and architecture for new systems and enhancing and modernizing legacy systems
  • Proven experience as a strong Senior Engineer, leading technical teams in fintech or full stack/backend systems.
  • Extensive experience working with Python, Node.js and JavaScript
  • Experience with Generative AI
  • Experience of prompt engineering and tooling orchestration for AI agents in enterprise environments, ensuring reproducibility and compliance.
  • Understanding of transformers, GANs, VAEs, and other generative architectures.
  • Application of NLP, multimodal AI, and AI-powered developer tools in production systems.

Other signals

  • Generative AI experience
  • prompt engineering
  • tooling orchestration for AI agents
  • NLP
  • multimodal AI
  • AI-powered developer tools