AI Engineer (LLM, Agentic AI)
Core
Design, develop, test, deploy, and support large-scale production AI systems including LLM inference, agentic workflows, and multi-agent orchestration to improve banking products.
Role type
Senior IC AI Engineer (LLM, Agentic AI)
Builds
Scalable AI systems integrating LLMs, vector search, and domain-specific models for Capital One's associates and customers.
Domain
Financial Services / Generative AI & Large Language Models
Deliverable
production ML models
Required skills
Python, Go, Scala, CUDA, Java, LLM inference, similarity search, VectorDBs, guardrails, model optimization, agentic AI systems, multi-agent workflows, heterogeneous AI system architecture, ethical AI standards, cost-performance governance, model right-sizing
Preferred skills
Leading AI system development, deploying scalable AI on cloud platforms, designing complex AI systems, optimizing training/inference for hardware utilization, architecting unified production pipelines, defining ethical AI deployment standards, balancing model performance with operational cost, team design councils, mentoring engineers
Technologies
AWS Ultraclusters, Hugging Face, PyTorch, VectorDBs, C++, C#, Golang
Responsibilities
Partner with cross-functional teams to deliver AI-powered products; design and optimize multi-model orchestration pipelines; lead cost-performance governance reviews; mentor principal- and manager-level AI engineers; shape technical vision and roadmap for foundational AI systems.
Seniority
Senior, hands-on IC with mentorship responsibilities
