AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services)
Core
Design, develop, and deploy scalable agentic AI and Gen AI systems (LLM inference, multi-agent workflows, guardrails) to enhance banking products and customer experiences.
Role type
Senior IC AI Engineer (Agentic AI & Gen AI Platform)
Builds
Production AI software components, foundation model training/inference pipelines, and agentic workflows for Capital One's banking platform.
Domain
Financial Services / Generative AI / Large Language Models
Deliverable
production ML models
Required skills
Python, Go, CUDA, Java, LLM inference, multi-agent workflows, vector databases, model optimization, distributed systems, GPU/TPU utilization, SLO definition
Preferred skills
Leading AI system development, cloud platform deployment (AWS/GCP/Azure), agentic AI system design, petabyte-scale distributed systems, AI model governance
Technologies
AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, CUDA
Responsibilities
Design and deploy AI software components including foundation model training and inference; optimize large-scale production AI systems for performance and cost; define and maintain SLOs for AI reliability; collaborate on infrastructure to optimize GPU/TPU utilization; mentor senior associates on scalable design and research-to-production translation.
Seniority
Senior, hands-on IC
