Level

Visa

SW Engineer

AI in this role

Develop backend software and AI systems utilizing LLMs, RAG architectures, and agentic patterns.

chatgptcopilotlangchainjavapythonpydanticorjsonfastapimicrosoft-copilot
prompt-engineeringragnlp

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

The SW Engineer is responsible for conducting, planning, or overseeing one or more aspects of the analysis, design, programming, debugging, and modification of computer programs for commercial or end user applications. This role involves writing code, completing programming tasks, and performing testing and debugging of applications. The SW Engineer also completes documentation and procedures for installation and maintenance, and may interface with users to define system requirements and/or necessary modifications or develop cost estimates, budgets, and schedules.

All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.

What You'll Do

  • Conduct analysis, design, programming, debugging, and modification of computer programs for commercial or end user applications.
  • Write code, complete programming tasks, and perform testing and debugging of applications.
  • Complete documentation and procedures for installation and maintenance.
  • Interface with users to define system requirements and/or necessary modifications.
  • Develop cost estimates, budgets, and schedules as needed.

This is a Hybrid position. 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
  • Programming Languages: Strong proficiency in Java / Python including async/await patterns, type hints (Pydantic v2), and high-performance serialization (orjson).
  • AI/ML Frameworks: Hands-on experience with LangChain, RAG architectures, LLM API integration, prompt engineering, and agentic AI patterns. Familiarity with intent classification and NLP pipelines.

Preferred Qualifications

  • Experience with FastAPI for building production APIs.
  • Experience in analysis, design, and programming of computer applications.
  • Experience in debugging and modifying software programs.
  • Experience in writing and maintaining technical documentation.
  • Experience in performing software testing and troubleshooting.
  • Experience in collaborating with users or stakeholders to gather requirements.
  • Experience in developing or supporting installation and maintenance procedures.
  • Protocols & Integration: Experience with Model Context Protocol (MCP) JSON-RPC 2.0, REST APIs, Server-Sent Events (SSE), and mTLS. Understanding of agent-to-agent communication patterns.
  • API Development: Ability to design and implement robust APIs using FastAPI, including request validation (Pydantic), authentication (OAuth2, API Key, mTLS), and streaming responses.
  • Cloud Computing: Experience developing and deploying cloud-native containerized applications.GenAI: Practical utilization of Generative AI models for code development and familiarity with LLM API integration patterns (ChatOpenAI, token management, streaming).


Information for US Applicants

For roles located in the US, the estimated salary range for this position is $95.500,00 to $ 148.300,00 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.

Work Hours

Varies upon the needs of the department.

Travel Requirements

This position requires travel 5-10% 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 protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

How we rate this

SW Engineer at Visa rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Prompt EngineeringRAGNLPChatGPTCopilotLangChainJavaPython

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How would you design a retrieval step so the model answers from real data instead of guessing?
  3. What NLP problem have you worked on, and how did you measure whether it actually worked?
  4. What's a project where you used ChatGPT hands-on?
  5. Walk me through how you've used Copilot in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Prompt Engineering, RAG, NLP, ChatGPT, and Copilot. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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