AI Engineer 5 (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-model orchestration for banking applications.
Role type
Senior IC AI Engineer (MLX, Agentic AI, Gen AI platform)
Builds
Proprietary AI systems and platforms that empower Capital One teams to enhance products with AI.
Domain
Financial Services / Generative AI / Large Language Models
Deliverable
production ML models
Required skills
Foundation model training, LLM inference, agentic workflows, multi-model orchestration, model optimization, cost-performance governance, Python, Go, CUDA, PyTorch, VectorDBs
Preferred skills
Leading development of AI systems with tradeoff decisions, deploying scalable AI on cloud platforms, building agentic AI systems, architecting heterogeneous AI systems, ethical AI deployment standards, dynamic inference strategies, model compression, right-sizing models
Technologies
AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, CUDA, MLX
Responsibilities
Partner with cross-functional teams to deliver AI-powered products; Design and optimize multi-agent workflows and similarity search; Invent foundation model optimization techniques; Lead cost-performance governance reviews; Mentor Principal and Manager-level AI engineers
Seniority
Senior, hands-on IC
