Senior AI Engineer - Scalable LLM & Cloud AI

Jobtailor; California (MO); On-site; USD 180,000 - 240,000; Full time

Job summary

Capital One is seeking an experienced AI Software Engineer to partner with engineers, researchers and product managers to deliver AI-powered products. You will design, develop, test, deploy, and support AI components including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.

The role requires staying ahead of AI research, applying novel techniques, and leveraging cloud platforms with open-source

Qualifications

• Bachelor's degree in CS/AI/EE/CE or related fields with 4+ years of AI/ML experience or

Responsibilities

• Partner with engineers, research scientists, tech program managers and product managers to deliver AI-powered products.
• Design, develop, test, deploy and support AI software components including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance and observability.
• Invent and introduce state-of-the-art LLM optimization techniques to improve scalability, cost, latency and throughput of production AI systems.
• Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One

Skills

Python

Go

Scala

Java

C++

C#

Golang

AI Software Development

LLM Optimization

Cloud Platform Deployment

Education

Bachelor's degree in Computer Science/AI/EE/CE or related field

Master's degree in related fields + 2+ years experience

Tools

AWS Ultraclusters

Hugging Face

VectorDBs

Nemo Guardrails

PyTorch

Job description

Capital One is seeking an experienced AI Software Engineer to partner with engineers, researchers and product managers to deliver AI-powered products. You will design, develop, test, deploy, and support AI components including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.

The role requires staying ahead of AI research, applying novel techniques, and leveraging cloud platforms with open-source