Senior AI Systems Engineer – Foundations & LLMs

Capital One

San Jose (CA)

On-site

USD 140,000 - 190,000

Full time

3 days ago
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Job summary

Capital One in San Jose is seeking an AI Engineer 3 to partner with a cross-functional team to deliver AI-powered products that transform how our associates work and how customers interact with Capital One.

You will design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.

Qualifications

  • Bachelor's or Master's degree in a related field with relevant AI/ML experience.
  • 3+ years of experience developing AI and ML algorithms or technologies.
  • Strong programming skills in Python and at least one of Go, Scala, CUDA, Java.

Responsibilities

  • Partner with cross-functional teams to deliver AI-powered products.
  • Design, develop, test, deploy, and support AI software components.
  • Foundation model training and large language model inference.
  • Agents and multi-agent workflows, similarity search, guardrails, evaluation.
  • Governance, observability, and model versioning for deployed assets.
  • Mentor junior AI engineers and promote engineering excellence.

Skills

Python
Go
Scala
CUDA
Java

Education

Bachelor's degree in Computer Science / AI / Electrical Engineering or related fields
Master's degree in Computer Science / AI / Electrical Engineering or related fields

Tools

AWS
HuggingFace
PyTorch
VectorDBs

Job description

Capital One in San Jose is seeking an AI Engineer 3 to partner with a cross-functional team to deliver AI-powered products that transform how our associates work and how customers interact with Capital One.

You will design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.

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