Senior Software Engineer – Open Banking

Visa Visa · Fintech · Bengaluru, India, IN

Senior Software Engineer role at Visa's Open Banking team in Bangalore, focusing on building AI-first engineering practices. The role involves co-developing integrations and features with Generative AI agents, operating in a DevOps model, and experimenting with Visa's AI models and tools to enhance the engineering lifecycle. The engineer will build high-performance APIs, integrate with banking interfaces, and apply AI to challenges like anomaly detection and automation, while owning end-to-end delivery in a cloud-native environment.

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. Apply Generative AI models to API integration challenges, anomaly detection, and intelligent automation.
  3. Build components integrating with banks’ APIs to aggregate and enrich consumer financial data.
  4. Own end-to-end delivery: design, build, deploy, monitor, and maintain services in AWS/Kubernetes/Docker environments.
  5. Coach junior engineers, especially in leveraging AI engineering assistants.

Skills

Required

  • Java
  • Node.js
  • Javascript
  • AWS
  • Kubernetes
  • Docker
  • SQL
  • Datadog
  • Transformers
  • GANs
  • VAEs
  • NLP
  • Multimodal AI
  • AI-powered developer tools
  • Prompt engineering
  • Tooling orchestration for AI agents

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
  • Understanding of transformers, GANs, VAEs, and other generative architectures.
  • 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 will supercharge every stage of the engineering lifecycle
  • Apply Generative AI models to API integration challenges, anomaly detection, and intelligent automation