AI Engineer 4 (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning)
Core
Design, develop, test, deploy, and support AI software components including foundation model training, LLM inference, agents, and multi-agent workflows for banking applications.
Role type
Senior IC AI Engineer (LLM & RL)
Builds
Proprietary AI solutions and platforms for Capital One's banking products
Domain
Financial Services / Large Language Models / Reinforcement Learning
Deliverable
production ML models
Required skills
Python, Go, CUDA, PyTorch, VectorDBs, LLM Inference, Model Optimization, Distributed Systems, GPU/TPU Utilization, SLO Definition, Technical Mentoring
Preferred skills
Leading AI system development, Cloud platform deployment (AWS/GCP/Azure), Agentic AI workflows, Petabyte-scale inference design, AI model governance
Technologies
AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, CUDA
Responsibilities
Partner with cross-functional teams to deliver AI-powered products; Invent and introduce state-of-the-art foundation model optimization techniques; Own end-to-end architecture for complex AI systems; Collaborate with infrastructure engineering to optimize GPU/TPU utilization; Mentor Principal and Senior Associates on scalable design and research-to-production translation.
Seniority
Senior, hands-on IC
