AI Engineer - Remote

Company: Wiraa

Location: Location not specified (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-09-26

About this role

About The Company
Capital One is a leading financial services company dedicated to transforming banking through innovative technology and responsible AI systems. With a strong reputation for leveraging machine learning and data-driven solutions, Capital One strives to deliver personalized, real-time customer experiences and streamline banking operations. The company's commitment to technological excellence and customer-centric services has positioned it as an industry leader. Capital One continuously invests in cutting-edge infrastructure, world-class talent, and research-driven AI applications to reimagine banking for the future. Its mission is to create responsible and reliable AI systems that bring humanity and simplicity to financial services, ensuring a positive impact on customers, businesses, and the broader community.


About The Role
The Staff AI Engineer for the Enterprise Analysis Platform is a pivotal role within Capital One's innovative AI landscape. This remote-eligible position involves partnering with cross-functional teams—including engineers, research scientists, project managers, and product teams—to develop and deploy advanced AI-powered products. The primary focus is on building a scalable, enterprise-grade AI native platform that empowers over 15,000 users across various lines of business to perform AI-assisted data analysis. The role requires designing, developing, testing, and supporting sophisticated AI software components such as foundation model training, large language model inference, similarity search, and governance systems. The ideal candidate will contribute to shaping the technical vision and roadmap of foundational AI systems, leveraging a broad stack of open-source and SaaS AI technologies like AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch. This position offers an exciting opportunity to innovate at the forefront of AI, optimizing large-scale models for performance, scalability, and cost-effic...

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