AI Engineer 4 (Vision model (VLM) customization experience)
Core
Design, develop, test, deploy, and support large-scale AI systems including foundation model training, LLM inference, agents, and multi-agent workflows for banking applications.
Role type
Senior IC AI Engineer (Vision/LLM Systems)
Builds
Scalable, high-performance AI infrastructure and proprietary solutions for real-time customer experiences and internal associate tools.
Domain
Financial Services / Applied AI / Large Language Models
Deliverable
production ML models | product features | infrastructure
Required skills
Python, Go, CUDA, Java, PyTorch, system architecture, model optimization, SLO definition, GPU/TPU utilization, agentic workflows
Preferred skills
Leading AI system development, cloud platform deployment (AWS/GCP/Azure), distributed systems at petabyte scale, AI model governance, agentic AI systems design
Technologies
AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, CUDA, Golang, C++, C#
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; Define and maintain SLOs for AI reliability; Collaborate with infrastructure engineering to optimize GPU/TPU utilization; Lead cross-functional technical reviews for new AI system deployments; Mentor Principal and Senior Associates on scalable design and research-to-production translation
Seniority
Senior, hands-on IC with mentorship responsibilities
