Full Stack AI Engineer

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.

We are looking for a Full Stack AI Engineer to join our Global Front Engineering team to build next generation of tools and products. All of our team members are strategic thinkers and conceptual problem solvers who make every decision an informed one. We value hard work, accountability and collaboration and look for proven skills over big egos. Our team excels in working together and recognizing individual strengths and values each contributor as a key factor in successfully delivering a project. If you understand "Yes, and" over No, this is the team for you.

In this role, you will play a crucial part in developing, deploying, and optimizing AI-powered tools for code/prototype generation using modern LLMs and associated technologies. You will build and maintain robust backend systems using Python and FastAPI, ensuring scalability, security, and performance for enterprise-level GenAI applications. Additionally, you will leverage advanced techniques such as prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures. Collaborating with cross-functional teams, you will need to stay updated with the latest advancements in the generative AI space to integrate best practices and innovative solutions into our projects.

Role responsibilities:

• Build high-performance complex AI systems using generative AI-based tools and stacks for rapid code/prototype generation.
• Design, develop, and maintain robust backend systems using Python and FastAPI.
• Leverage your solid understanding of Large Language Models (LLMs), AI agents, and orchestration frameworks (e.g., LangGraph) to enhance our AI capabilities.
• Apply prompt optimization strategies and techniques to improve AI model outputs.
• Utilize techniques such as prompt engineering, retrieval-augmented generation (RAG), and embedding techniques to develop innovative AI solutions.
• Build evaluation frameworks to measure model performance and ensure quality for production use
• Design and manage efficient database systems for storing and retrieving data.
• Use containerization technologies like Docker and Kubernetes to deploy and manage applications.
• Stay up-to-date with the current engineering landscape in the generative AI space and integrate best practices into our solutions.

This is a hybrid position.Expectationofdays intheoffice will be confirmed by your Hiring Manager.

Basic Qualifications:

2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)

Preferred Qualifications:

3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)

Minimum of 2 years of work experience

Bachelor's Degree or Masters in CS, or equivalent experience

Experience working on enterprise-grade full stack AI applications

Essential Qualifications

Solid experience in building production grade, enterprise-level full stack GenAI applications, ensuring scalability, reliability, security, and performance.

Strong proficiency with Python, FastAPI and PostgreSQL for backend development.

Solid understanding of web technologies(HTML,CSS, JavaScript) and one or more Frontend frameworks like ReactJs.

Solid understanding of Large Language Models (OpenAI, Claude etc.), AI agents, and orchestration, observability frameworks (e.g., LangGraph, LangSmith).

Experience with techniques such as Fine tuning LLMs, prompt engineering, retrieval-augmented generation (RAG), and embedding techniques.

Experience with vector databases (e.g., Pinecone, ChromaDB) and embedding models Experience with DevOps and containerization technologies like Docker and Kubernetes .

Experience with working Frontend Design Systems will be a big plus.

Strong problem-solving skills and the ability to tackle complex technical challenges.

Excellent communication skills to work effectively with cross-functional teams.

Ability to stay updated with the latest advancements in the generative AI field.

Strong understanding of software engineering principles and best practices

Focus on creating user-friendly and intuitive solutions that enhance user experience.

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel5-10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for this position is 110,700.00 to 171,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.