Software Engineer, AI Engineer (Applied​/Software), Machine Learning​/ ML Engineer

About Us

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.

Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.

Visa will accept applications for this role until at least 06-09-2026.

We are looking for versatile, curious, and energetic Software Engineers with a strong interest in Generative AI and modern software engineering.

As a Software Engineer – GenAI Focus, you will be part of a cross-functional team building intelligent, AI-enabled applications and services. You will help design and develop scalable systems that integrate large language models (LLMs), retrieval-augmented generation (RAG), and data-driven workflows into production-grade platforms.

This role offers the opportunity to build real-world GenAI solutions that operate at global scale - while strengthening your foundations in distributed systems, full-stack engineering, and responsible AI development.

• Design, develop, and maintain full-stack applications and services that support high-volume, mission-critical platforms.
• Build and integrate Generative AI capabilities such as LLM-powered assistants, knowledge retrieval systems, and AI-driven automation workflows.
• Develop APIs and orchestration layers that connect AI models with enterprise systems and data sources.
• Contribute to the design of RAG pipelines, embedding workflows, and evaluation mechanisms for AI outputs.
• Collaborate with cross-functional teams to create design artifacts and implement best-in-class solutions.
• Contribute to product quality, system reliability, and performance improvements.
• Leverage innovative technologies to build the next generation of Payment Services, Transaction Platforms, Real-Time Payments, and Buy Now Pay Later Technology
• Participate in testing, code reviews, and sprint ceremonies.

• Demonstrate foundational understanding of software engineering principles and AI-integrated workflows.
• Ask questions and seek guidance to clarify technical designs and implementation approaches.
• Apply standard development processes to implement features under close supervision.
• Support the development and testing of AI-integrated workflows and services.
• Work with mentors to validate and improve GenAI feature behavior and reliability.
• Identify, document, and elevate defects affecting system functionality or model outputs.
• Follow secure coding, data handling, and responsible AI guidelines.
• Participate in training and knowledge-sharing activities.

• Strong interest in AI, machine learning, and modern software systems.
• Motivation to learn and grow in a fast-evolving technical environment.

• Working knowledge of one or more programming languages (e.g., Java, Python, C#, C++).
• Basic understanding of web technologies (HTML, CSS, JavaScript).
• Introductory exposure to APIs and service-based architectures.

• Interest in building reliable, maintainable, and scalable software.
• Ability to follow coding standards and design guidelines.

• Eagerness to learn GenAI tools, frameworks, and platforms (e.g., LLM APIs, prompt engineering, vector databases, AI workflows).

• Ability to collaborate with Product, Data, QA, Dev Ops, and Agile teams.
• Openness to feedback, mentoring, and continuous improvement.

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

• Bachelors degree, OR 3+ years of relevant work experience
• 2 or more years of work experience
• Exposure to Python-based AI/ML or data processing workflows.
• Familiarity with LLM platforms, APIs, or AI development tools.
• Basic understanding of…