Senior AI Systems Engineer & Tech Lead

Capital One

McLean (VA)

On-site

USD 230,000 - 262,000

Full time

2 days ago
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Job summary

Capital One is seeking an AI Engineer to partner with engineers, researchers, and PMs to deliver AI-powered products that transform how associates work and how customers interact with Capital One. You will design, develop, test, deploy, and support AI software components including foundation model training, LLM inference, guardrails, and observability.

You will leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, HuggingFace, VectorDBs, Nemo Guardrails,

Qualifications

  • Bachelor's degree (or higher) in CS/AI/EE/CE or related field with 6+ years exp (or Master's with 4+ years).
  • 6+ years of experience programming in Python, Go, Scala, or Java.

Responsibilities

  • Partner with cross-functional teams to deliver AI-powered products that change how associates work and how customers interact with Capital One.
  • Design, develop, test, deploy, and support AI software components including model training, inference, guardrails, evaluation, and observability.
  • Leverage Open Source and SaaS AI technologies (AWS Ultraclusters, HuggingFace, VectorDBs, Nemo Guardrails, PyTorch).
  • Invent LLM optimization techniques to improve performance, latency, throughput, and cost.

Skills

Python programming
Go programming
Scala programming
Java programming

Education

Bachelor's degree in Computer Science or related field
Master's degree in Computer Science or related field

Tools

AWS
Hugging Face
PyTorch
VectorDBs
Nemo Guardrails

Job description

Capital One is seeking an AI Engineer to partner with engineers, researchers, and PMs to deliver AI-powered products that transform how associates work and how customers interact with Capital One. You will design, develop, test, deploy, and support AI software components including foundation model training, LLM inference, guardrails, and observability.

You will leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, HuggingFace, VectorDBs, Nemo Guardrails,

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