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Current Master's, AI Engineering Internship Program - Summer 2027

$147k - $147k • New York, NY • Internship

Posted 1mo ago

Remote Work Policy

On-site

Employment Type

Internship

Categories

AI Agent Engineer

About the job

This is a paid, full-time, twelve-week AI Engineering Internship Program for Summer 2027, running from June through August. Interns will work on delivering industry-leading agentic capabilities and scalable, high-performance AI infrastructure, contributing to AI applications and platform capabilities that power customer-facing experiences with GenAI workflows. The program aims to build AI systems and shape ideas for AI-native experiences and products for over 100 million customers, with the potential for evaluation for a full-time position upon graduation.

Responsibilities

  • Partner with research scientists, PMs, and engineers to prototype and ship AI-native products.
  • Research, prototype, and productionalize high-impact AI systems, including multimodal search, intelligent document processing, and autonomous agentic workflows.
  • Design and optimize AI stack infrastructure, including fine-tuning pre-training pipelines, reinforcement learning, inference optimization, guardrails, and evaluation frameworks.
  • Architect agentic workflows that enable AI systems to autonomously navigate tools, orchestrate multi-step reasoning, and integrate with complex microservice environments.

Requirements

  • Currently pursuing a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field, with degree expected by August 2028 or earlier.
  • Must continue in the same course of study after the internship.
  • At least 6 months of experience or academic work developing AI and ML algorithms or technologies.
  • At least 6 months of experience or academic work programming with Python, Go, Scala, or Java.
  • Experience or academic work deploying AI/ML systems on cloud platforms (e.g., AWS, Google Cloud, Azure).
  • Experience or academic work optimizing AI/ML training or inference pipelines, including distributed GPU computational frameworks.
  • Experience or academic work with AI/ML domains and systems (e.g., LLM Inference, Search and Retrieval, NLP, Computer Vision, Guardrails, Memory).
  • Familiarity with Agentic Frameworks (e.g., LangChain, LangGraph, LlamaIndex, Autogen, MCP/A2A, frontier-labs agent SDKs).

Benefits

  • Paid internship
  • Potential for full-time position evaluation upon graduation

About Capital One