Senior Generative AI Research Engineer
NVIDIAFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
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.
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.
Global digital payment network provider
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.