AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services)
Core
Design, develop, test, deploy, and support AI software components including foundation model training, LLM inference, agentic workflows, and multi-agent systems for banking applications.
Role type
Senior IC AI Engineer (MLX, Agentic AI, Gen AI platform)
Builds
Proprietary AI platforms and services that empower Capital One teams to enhance products with AI.
Domain
Financial Services / Generative AI / Large Language Models
Deliverable
production ML models
Required skills
Python, Go, CUDA, Java, PyTorch, VectorDBs, LLM Inference, Agentic AI, Model Optimization, Distributed Systems, GPU/TPU Utilization
Preferred skills
Leading development of AI systems with tradeoff decisions, deploying scalable AI on cloud platforms, designing agentic workflows, optimizing training/inference software, defining AI model governance processes
Technologies
AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, CUDA, AWS, Google Cloud, Azure
Responsibilities
Partner with cross-functional teams to deliver AI-powered products; Design and deploy AI components including foundation model training and agentic workflows; Invent state-of-the-art optimization techniques for production AI systems; Own end-to-end architecture for complex AI systems; Define and maintain SLOs for AI reliability; Collaborate with infrastructure to optimize GPU/TPU utilization; Mentor Principal and Senior Associates on scalable design and research-to-production translation
Seniority
Senior, hands-on IC
