AI Engineer, World Models & Reinforcement Learning
Core
Design, develop, test, deploy, and support foundational AI systems including LLM inference, agentic workflows, and model optimization for banking customers.
Role type
Senior IC AI Engineer (World Models & Reinforcement Learning)
Builds
Proprietary AI models and platforms serving millions of customers
Domain
Financial Services / Generative AI & Reinforcement Learning
Deliverable
production ML models
Required skills
Python, Go, Scala, CUDA, Java, LLM inference, vector databases, distributed systems, GPU/TPU optimization, model governance
Preferred skills
Leading AI systems development, deploying scalable AI on cloud platforms, designing agentic AI workflows, optimizing training/inference software, building petabyte-scale distributed systems, defining AI model governance processes
Technologies
AWS Ultraclusters, Hugging Face, PyTorch, vector databases, C++, C#, Golang
Responsibilities
Partner with engineers and product managers to deliver AI-powered products; Design and optimize foundation model training and inference pipelines; Own end-to-end architecture for complex AI systems; Mentor Principal and Senior Associates in scalable design and performance tuning; Lead technical reviews for AI system deployments ensuring security and compliance.
Seniority
Senior, hands-on IC with mentorship responsibilities
