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GenAI Automation Engineer

Job in Ashburn, Loudoun County, Virginia, 22011, USA
Listing for: Tink
Full Time position
Listed on 2026-06-01
Job specializations:
  • Software Development
    AI Engineer, Cloud Engineer - Software, Software Engineer, Backend Developer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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.



Job Description

Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate one of the world’s most advanced processing networks, supporting billions of transactions globally.

Within this ecosystem, our team is focused on reimagining Global Operations through intelligent automation. We are building a GenAI-powered, agentic automation platform designed to reduce manual, repetitive workflows and improve the reliability, scalability, and efficiency of operational systems.

Our team operates as a product-oriented engineering group, owning the design and delivery of backend services, full-stack applications, and AI-driven workflow orchestration. We partner closely with platform, infrastructure, and operations teams to build systems that have direct impact across Visa’s internal technology landscape.

The Opportunity

We are looking for a curious and motivated early-career Software Engineer who is excited to work at the intersection of software engineering and emerging AI technologies.

In this role, you’ll contribute to building modern automation platforms powered by Generative AI, gaining hands-on experience with agentic workflows, distributed systems, and full-stack development. This is an opportunity to work on real-world applications of AI within production systems, while continuing to build strong engineering fundamentals.

You’ll collaborate with experienced engineers to design, build, and scale systems that improve operational efficiency across Visa’s global infrastructure.

The Work Itself

  • Design and develop backend services and APIs using Python (FastAPI) and distributed system patterns of microservices
  • Build and enhance full-stack applications, including React-based user interfaces
  • Contribute to the development of GenAI-powered automation workflows, including exposure to frameworks such as Lang Chain and Lang Graph
  • Help implement agentic workflows that coordinate multi-step system actions and automation
  • Collaborate with cross-functional teams across product, platform, and infrastructure
  • Participate in system design discussions, code reviews, and agile ceremonies
  • Troubleshoot issues and improve the reliability and performance of existing systems
  • Contribute to best practices in scalability, maintainability, and engineering quality
  • Support production systems through a light on-call rotation focused on reliability and continuous improvement
This is a hybrid position. Expectation of days in the 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.

Qualifications

Basic Qualifications

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


Preferred Qualifications

  • Engineering Fundamentals:
    Strong foundation in at least one programming language (e.g., Python, Java, C++, JavaScript)
  • Full-Stack Interest:
    Experience or interest in building both backend services and frontend applications (React or similar frameworks)
  • GenAI & Automation Exposure:
    Familiarity with Generative AI concepts through coursework, internships, or projects (e.g., LLM APIs, prompt design, RAG, or workflow-based AI tools)
  • Agentic Workflow Awareness:
    Exposure to building or experimenting with multi-step AI workflows, automation pipelines, or agent-based systems using Lang Chain / Langraph (academic or project-based experience is sufficient)
  • Systems Thinking:
    Interest in distributed systems, APIs, and event-driven micro services architectures
  • Builder Mindset:
    Desire to build scalable, real-world systems and improve them over…
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