Sr. Sw Engineer

Visa Visa · Fintech · Bengaluru, India, IN

Senior Software Engineer for Visa's Open Banking team in Bangalore, which is an AI-first engineering team. The role involves building high-performance, scalable APIs, co-developing integrations with GenAI agents, operating in a DevOps model, and experimenting with Visa's AI models and tools. Responsibilities include AI-powered development (code generation, refactoring, testing with GenAI), open banking integrations, and cloud-native DevOps on AWS. Requires experience with Java, Node.js, Javascript, Generative AI concepts (transformers, GANs, VAEs), NLP, multimodal AI, AI developer tools, prompt engineering, and cloud-native DevOps.

What you'd actually do

  1. Co-develop integrations / features side-by-side with GenAI agents to dramatically increase speed-to-market and code quality.
  2. Continuously experiment with Visa’s rich portfolio of Generative AI models (transformers, LLMs, GANs, VAEs, multimodal models) and cutting-edge AI tools for production and innovation.
  3. Apply Generative AI models to API integration challenges, anomaly detection, and intelligent automation.
  4. Build components integrating with banks’ APIs to aggregate and enrich consumer financial data.
  5. Own end-to-end delivery: design, build, deploy, monitor, and maintain services in AWS/Kubernetes/Docker environments.

Skills

Required

  • Java
  • Node.js
  • Javascript
  • Generative AI
  • Transformers
  • GANs
  • VAEs
  • NLP
  • Multimodal AI
  • AI-powered developer tools
  • Prompt engineering
  • Tooling orchestration for AI agents
  • AWS
  • Kubernetes
  • Docker
  • CI/CD pipelines
  • Infrastructure-as-code
  • Agile product-centric environments

Nice to have

  • Operational excellence & incident response experience
  • Financial API integration experience
  • Experience mentoring engineers in AI-assisted development

What the JD emphasized

  • AI-first
  • Generative AI agents
  • AI-augmented approach
  • Apply Generative AI models
  • Partner with GenAI agents
  • Experiment in Visa’s AI sandbox
  • Apply Generative AI models
  • Experience with Generative AI
  • Application of NLP, multimodal AI, and AI-powered developer tools in production systems
  • Practical exposure to prompt engineering and tooling orchestration for AI agents in enterprise environments, ensuring reproducibility and compliance

Other signals

  • AI-first engineering team
  • Generative AI agents as development companions
  • AI-augmented approach to supercharge engineering lifecycle
  • Apply Generative AI models to API integration challenges, anomaly detection, and intelligent automation