AI Engineer 5 (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning)
Core
Design, develop, test, deploy, and support AI software components including foundation model training, LLM inference, agents, multi-agent workflows, similarity search, guardrails, and model evaluation for Capital One's banking products.
Role type
Senior IC AI Engineer (LLM Customization, Finetuning, Reinforcement Learning)
Builds
Proprietary AI systems and platforms that empower teams across Capital One to enhance products with transformative AI capabilities.
Domain
Banking / Applied AI / Large Language Models
Deliverable
production ML models
Required skills
Foundation model training, LLM inference, agent and multi-agent workflow design, similarity search, guardrails, model evaluation, experimentation, governance, observability, foundation model optimization, multi-model orchestration, cost-performance governance, technical leadership, mentoring
Preferred skills
Leading development of AI systems with tradeoff decisions, deploying scalable AI on cloud platforms, designing complex AI systems, building agentic AI systems, applying state-of-the-art optimization techniques, architecting heterogeneous AI systems, defining ethical AI deployment standards, balancing model performance and operational cost, right-sizing models and hardware
Technologies
AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, CUDA, Python, Go, Scala, Java, C++, C#, Golang
Responsibilities
Partner with cross-functional teams to deliver AI-powered products; Design and implement multi-model orchestration pipelines; Establish and lead cost-performance governance reviews; Lead team design councils or review boards; Mentor Principal and Manager-level AI engineers
Seniority
Senior, hands-on IC with mentorship responsibilities
