AI Safety and Multimodal Engineer
Core
Design, develop, and deploy scalable AI systems with a focus on safety, alignment, and multimodal applications (text, image, video) for banking customers.
Role type
Senior IC AI Safety and Multimodal Engineer
Builds
Foundation model training pipelines, LLM inference agents, multi-agent workflows, guardrails, and vector search systems.
Domain
Financial Services / Large Language Models / Multimodal AI
Deliverable
production ML models
Required skills
Python, Go, Scala, CUDA, Java, C++, C#, LLM inference, vector databases, distributed systems, hardware optimization, AI safety alignment, agentic AI workflows, model governance, red teaming
Preferred skills
Cloud platform deployment (AWS, GCP, Azure), scalable responsible AI solutions, advanced training/inference optimization, petabyte-scale system design
Technologies
AWS Ultraclusters, Hugging Face, PyTorch, PyTorch, Golang, CUDA, AWS, Azure, C#, Java, Scala, Python, RAG
Responsibilities
Design and optimize foundation model training and inference pipelines; implement safety guardrails and red teaming for multimodal systems; define AI model governance and reproducibility processes; mentor senior associates on scalable design and production translation; lead cross-functional reviews for security and compliance.
Seniority
Senior, hands-on IC with architectural influence
