Role Overview:

As a Full-Stack Developer & GenAI Engineer at Visa in the Finance Technology organization, you will play a crucial role in enabling Visa's revenue growth by developing flexible rule-based pricing engines and global revenue platforms using next-generation technologies. Your responsibilities will include designing, developing, and deploying scalable web applications integrated with modern Generative AI capabilities. You will have the opportunity to work on diverse technologies and solve complex business problems while contributing to the overall success of the projects in a team-oriented and fast-paced environment.

Key Responsibilities:

• Design, build, and maintain full-stack applications using various front-end and back-end technologies.
• Participate in the entire software development lifecycle, including version control, testing, deployment, and release management.
• Apply hands-on experience in Generative AI, including LLM model development, fine-tuning, prompt engineering, evaluation workflows, and GenAI ecosystem tools.
• Design and implement LLM-powered applications, AI agents, and intelligent automation solutions.
• Own the end-to-end lifecycle of AI features, from concept to deployment, monitoring, and iteration.
• Integrate AI components and agents with internal/external APIs, business systems, and data sources.
• Develop GenAI workflows such as retrieval pipelines, RAG systems, orchestration graphs, and agent-based architectures.
• Mentor junior engineers and contribute to best practices for building AI-enabled applications.
• Stay updated with emerging technologies, conduct Proofs of Concept (POCs), and drive solution delivery in an agile environment.
• Write and maintain automated test cases to ensure application quality and stability.
• Support, optimize, and enhance applications post-deployment.
• Build systems with high scalability, resiliency, observability, and strong monitoring practices.
• Work independently in complex environments, meeting service levels and delivery commitments consistently.
• Foster strong working relationships with team members, business partners, and technology stakeholders through collaboration, communication, and accountability.

Qualifications

• Over 5 years of experience in application development with expertise in front-end frameworks and back-end processes, with at least 2 years focused on building AI/ML powered applications.
• Bachelor's degree in Computer Science or another Engineering discipline.
• Proficiency in front-end languages like HTML, CSS, and JavaScript.
• Familiarity with JavaScript frameworks such as Angular and React.
• Proficient in Web Services/API Development using REST and JSON.
• Strong skills in core Java, scripting, Hibernate, Spring Boot, Python.
• Knowledgeable in database technologies like MongoDB, Oracle, PostgreSQL, and MySQL.
• Experience in building and optimizing GenAI workflows, retrieval pipelines, agents, and LLM-based systems.
• Proficiency in deploying scalable applications on cloud platforms like AWS/Azure/GCP.
• Excellent written and verbal communication skills with problem-solving ability.
• Proficient with Agile Development Techniques.
• Ability to work in a complex organization, understanding business and customer needs to provide optimal solutions.
• Strong teamwork focus and collaboration skills across teams.
• Passion for learning and applying new technologies with a commitment to delivering working software. Role Overview:

As a Full-Stack Developer & GenAI Engineer at Visa in the Finance Technology organization, you will play a crucial role in enabling Visa's revenue growth by developing flexible rule-based pricing engines and global revenue platforms using next-generation technologies. Your responsibilities will include designing, developing, and deploying scalable web applications integrated with modern Generative AI capabilities. You will have the opportunity to work on diverse technologies and solve complex business problems while contributing to the overall success of the projects in a team-oriented and fast-paced environment.

Key Responsibilities:

• Design, build, and maintain full-stack applications using various front-end and back-end technologies.
• Participate in the entire software development lifecycle, including version control, testing, deployment, and release management.
• Apply hands-on experience in Generative AI, including LLM model development, fine-tuning, prompt engineering, evaluation workflows, and GenAI ecosystem tools.
• Design and implement LLM-powered applications, AI agents, and intelligent automation solutions.
• Own the end-to-end lifecycle of AI features, from concept to deployment, monitoring, and iteration.
• Integrate AI components and agents with internal/external APIs, business systems, and data sources.
• Develop GenAI workflows such as retrieval pipelines, RAG systems, orchestration graphs, and agent-based architectures.
• Mentor junior engineers and contribute