AI Engineer 5 (MLX)
Core
Design, develop, test, deploy, and support large-scale production AI systems including foundation model training, LLM inference, multi-agent workflows, and optimization pipelines for banking applications.
Role type
Senior IC AI Engineer (ML Systems & Optimization)
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
Required skills
Foundation model training, LLM inference, multi-agent workflow design, model optimization, system architecture, Python, Go, CUDA, PyTorch, vector search, guardrails, model evaluation, cost-performance governance
Preferred skills
Agentic AI systems, heterogeneous AI system integration, ethical AI standards, dynamic inference strategies, model compression, hardware right-sizing, cloud platform deployment (AWS/GCP/Azure)
Technologies
AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, CUDA, Python, Go, Scala, Java, C++, C#
Responsibilities
Partner with cross-functional teams to deliver AI-powered products; Invent and introduce state-of-the-art optimization techniques for scalability and cost; Lead team design councils to ensure technical consistency; Mentor Principal and Manager-level engineers.
Seniority
Senior, hands-on IC with mentorship responsibilities