AI Engineer (VLM Customization)
Core
Design, develop, test, deploy, and support large-scale production AI systems, including foundation model training, LLM inference, agentic workflows, and optimization for scalability and cost.
Role type
Senior IC AI Engineer (VLM/LLM Systems)
Builds
Scalable AI infrastructure, foundation models, and agentic workflows for banking customers and internal associates.
Domain
Financial Services / Large-scale AI Systems
Deliverable
production ML models
Required skills
Python, Go, CUDA, Java, Python, C++, C#, LLM inference, vision-language models (VLMs), distributed systems design, GPU/TPU optimization, model governance, system observability
Preferred skills
Leading AI systems development, deploying scalable AI on cloud platforms, designing agentic AI workflows, optimizing training/inference software, building distributed systems at petabyte scale, defining AI model governance processes, influencing architectural decisions, mentoring senior engineers
Technologies
AWS Ultraclusters, Hugging Face, PyTorch, vector databases, AWS, Azure, C#, Golang, CUDA, Java, Python, Scala, C++, C#
Responsibilities
Partner with cross-functional teams to deliver AI-powered products; Design and optimize foundation model training and inference pipelines; Define and maintain AI reliability SLOs; Lead cross-functional technical reviews for security and compliance; Mentor Principal and Senior Associates in scalable design and performance tuning.
Seniority
Senior, hands-on IC with mentorship responsibilities
