Software Engineer - Corporate GenAI

Corporate Generative Ai Developer

Are you energized by the latest advances in Generative AI and interested in helping build the next generation of intelligent applications? At Visa's Corporate Generative AI (CGAI) team, we're looking for early-career developers who are eager to learn, grow, and contribute to practical AI-driven solutions.

In this role, you'll help contribute to well-scoped features that support agentic workflows under guidance from senior engineers, build and support applications that use LLMs to retrieve information, automate tasks, and guide users through complex processes.

This is an opportunity to join a supportive, collaborative team working on impactful solutions across the enterprise. If you're curious, motivated, and ready to explore applied AI while building useful, user-centered software, we'd love to connect with you.

Essential Functions:

• Develop, test, debug, and maintain full-stack software features across front-end, back-end, API, and data layers.
• Write clean, readable, and maintainable code that follows team standards and modern software engineering practices.
• Use LLMs and generative AI coding tools to support development, debugging, documentation, and problem-solving.
• Apply computer science fundamentals, including data structures, algorithms, debugging, and object-oriented programming.
• Participate in code reviews, incorporate feedback, and contribute to improving code quality.
• Support deployments, monitoring, and troubleshooting in Azure or similar cloud environments.
• Follow development practices including version control, testing, documentation, CI/CD, and agile work tracking.
• Collaborate with teammates and stakeholders to clarify requirements, communicate progress, and deliver high-quality work.
• Take ownership of assigned tasks, identify blockers early, and demonstrate a strong willingness to learn.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications:

• Bachelor's degree, OR 3+ years of relevant work experience

Preferred Qualifications:

• 6 months of relevant work experience preferred
• Education BS/MS in Computer Science, Software Engineering or equivalent experience.
• Basic understanding of software development concepts and the Software Development Lifecycle, including development, testing, deployment, and maintenance.
• Familiarity with modern front-end development, including HTML, CSS, JavaScript and/or Type Script, with React preferred; understands component-based design, reusable UI patterns, and front-end state management concepts such as component state, shared application state, schema/model definitions, efficient data flow, and UI performance optimization.
• Exposure to back-end development concepts and at least one server-side programming language, such as Python, Java, C#, or Node/Type Script, including APIs, server-side logic, data validation, authentication/authorization, error handling, logging, and integration with databases or external services.
• Introductory experience with relational, No
  
  SQL, or in-memory databases, such as PostgreSQL, MySQL, MongoDB, Redis, or similar technologies, including basic querying, data modeling, schema design, indexing concepts, data access patterns, and integration with applications or APIs.
• Introductory experience building, consuming, testing, or documenting REST APIs, including understanding HTTP methods, request/response formats, status codes, headers, authentication basics, validation, error handling, versioning concepts, and integration with front-end applications or external services.
• Awareness of cloud platforms, such as Azure, AWS, or Google Cloud, with eagerness to learn basic cloud services and cloud-hosted application development.
• Ability to write, review, and refine clean, readable code in one or more languages, such as Python, Java, C#, or JavaScript/Type Script.
• Experience using LLM-assisted development tools to support coding, debugging, refactoring, test generation, documentation, and problem-solving, while applying judgment to validate outputs.
• Ability to evaluate AI-generated code critically, including assessing correctness, readability, maintainability, security, performance, edge cases, and alignment with requirements.
• Familiarity with version control systems, especially Git.
• Introductory exposure to CI/CD concepts and development workflows, including automated builds, testing, code quality checks, deployment pipelines, and release processes.
• Exposure to GenAI software development tools through academic projects, workshops, or self-learning.
• Familiarity with basic concepts of prompt engineering and experience using language model APIs (such as Anthropic SDK, OpenAI Responses API) in academic or personal projects.
• Learning Mindset:
  Eager to learn core software design and best practices.
• Collaboration:
  
  Able to work well in teams and share technical ideas clearly.
• Curiosity:
  Interested in new technologies like Generative AI.
• Problem-Solving:
  Strong analytical skills…