Senior AI Engineer - Scalable LLMs & AI Systems (Remote)

Capital One

Cambridge (MA)

On-site

USD 269,100 - 307,200

Full time

14 days+

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Benefits offered by this job

Remote work option

Job summary

Capital One seeks an experienced AI Engineer to partner with cross-functional teams and advance AI-powered banking solutions. You will design, train and deploy AI software components, and optimize LLM performance in production.

The role emphasizes leadership, cloud deployment, and cutting-edge AI research, with remote work options. Strong collaboration across engineers, researchers, and product managers is expected.

Qualifications

  • Bachelors or Masters in CS/Engineering/AI with extensive AI/ML experience
  • 8+ years programming in Python/Go/Scala/Java
  • Experience deploying AI on cloud platforms (AWS/GCP/Azure)
  • Ability to lead and mentor multiple engineering teams
  • Experience developing AI/ML algorithms using modern frameworks and tools

Responsibilities

  • Partner with cross-functional teams to deliver AI-powered products
  • Design, develop, test, deploy, and support AI software components (foundation models, LLM inference, guardrails)
  • Leverage a broad stack of Open Source and SaaS AI technologies (AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch)
  • Develop state-of-the-art LLM optimization techniques for scalable production AI systems
  • Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One

Skills

Python
Go
Scala
Java
AI/ML

Education

Bachelor's in CS/Engineering/AI
Master's in CS/Engineering/AI

Tools

AWS
Google Cloud
Azure
Huggingface
VectorDBs
Nemo Guardrails
PyTorch

Job description

Capital One seeks an experienced AI Engineer to partner with cross-functional teams and advance AI-powered banking solutions. You will design, train and deploy AI software components, and optimize LLM performance in production.

The role emphasizes leadership, cloud deployment, and cutting-edge AI research, with remote work options. Strong collaboration across engineers, researchers, and product managers is expected.

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