Visa

Staff Software Engineer (GenAI)

Singapore

Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, Payments, FintechIndustries

Requirements

Candidates should possess a Bachelor's degree with 5+ years of relevant experience, or an Advanced degree with 2+ years of experience, or a PhD with 0 years of experience, or 8+ years of relevant work experience. Experience with full-stack development including backend frameworks like Django, FastAPI, or Flask, and frontend frameworks like React or Angular is required. Proficiency in integrating LLMs and agent frameworks such as GPT-4, Claude, Gemini, Llama, or Mistral, along with experience in retrieval-augmented generation (RAG), prompt engineering, and vector databases like Postgres or Chroma is necessary. Familiarity with Azure Cloud services including Azure OpenAI, App Services, and Cognitive Search, as well as experience with MLOps tools like MLflow or Azure ML, is also required. Experience integrating with Microsoft 365 platforms and implementing authentication protocols like SSO and OAuth2 is needed.

Responsibilities

The Staff Software Engineer will be responsible for the end-to-end ownership of Generative AI products, from architecture to deployment, utilizing LLMs and agent frameworks. This includes architecting and implementing full-stack solutions, integrating advanced LLMs into scalable enterprise systems, and implementing RAG, prompt engineering, and vector database search. Responsibilities also include ensuring robust prompt evaluation, hallucination detection, and model output validation, building secure connectors for enterprise data sources, and deploying solutions on Azure Cloud. The role involves integrating with Microsoft 365 platforms, implementing enterprise authentication, overseeing MLOps processes for model lifecycle management, and mentoring junior engineers. Additionally, the engineer will stay current with GenAI advancements and contribute to technical strategy.

Skills

Generative AI
LLMs
agent frameworks
Azure AI
security
privacy
regulatory compliance
full stack development
backend
frontend
architecture
deployment
enterprise platforms
mentorship
leadership
architectural design
scalability
problem solving

Visa

Global digital payment network provider

About Visa

Visa operates a global digital payment network that facilitates electronic payments for millions of people daily. The company connects consumers, businesses, financial institutions, and governments, allowing them to make transactions using Visa cards. Each time a card is used, Visa earns money through transaction, service, and data processing fees. Unlike many competitors, Visa focuses on expanding access to financial services for underserved communities and supporting local economies. The company's goal is to promote financial inclusivity and drive sustainable commerce, ensuring that more people can participate in the global economy.

San Francisco, CaliforniaHeadquarters
1958Year Founded
$55.8MTotal Funding
ANGEL_INDIVIDUALCompany Stage
Fintech, Financial ServicesIndustries
10,001+Employees

Benefits

Health Insurance.
Life Insurance.
Dental Insurance.
Disability Insurance.
Accidental Death & Dismemberment Insurance.

Risks

CBDCs could reduce reliance on Visa's payment network.
'Buy Now, Pay Later' services may decrease traditional credit card transactions.
Fintech startups offering zero-fee transactions could pressure Visa's revenue model.

Differentiation

Visa operates a global digital payment network connecting millions daily.
The company focuses on financial inclusivity and sustainability in its operations.
Visa collaborates with central banks on Central Bank Digital Currencies (CBDCs).

Upsides

Visa's partnership with fintechs enhances cross-border payment solutions.
Adoption of blockchain technology could revolutionize digital payments.
AI-driven fraud detection systems are reducing fraudulent activities.

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