AI Systems Engineer Intern: Agentic AI & Cloud Infra

Jobtailor; California (MO); On-site; USD 34,440,000 - 44,083,000; Part time

Job summary

Capital One is seeking a PhD candidate to intern on AI-native product development, prototyping, and productionalization of AI systems. You will collaborate with research scientists, product managers, and engineers to ship advanced AI capabilities across multimodal search and intelligent document processing.

The role emphasizes Python/Java programming, AWS deployment, and experimentation with LLMs, reinforcement learning, and NLP. In-person at the assigned U.S. location; continental US only.

Qualifications

• PhD in Computer Science, AI, Electrical Engineering, Computer Engineering or related field, with degree expected by Aug 2029 or earlier

Responsibilities

• Partner with research scientists, product managers, and engineers to prototype and ship AI-native products
• Research, prototype, and productionalize AI systems including multimodal search, intelligent document processing, and autonomous agentic workflows
• Design and optimize AI infrastructure including fine-tuning/pre-training pipelines, reinforcement learning, inference optimization, guardrails, and evaluation frameworks
• Build AI systems using AWS Ultraclusters, PyTorch, and agentic frameworks
• Architect agentic workflows that navigate tools, orchestrate multi-step reasoning, and integrate with complex microservice environments
• Build Agentic AI applications and platform capabilities for customer-facing GenAI workflows, AI infrastructure, and internal agentic coding tools
• Contribute to AI systems and AI-native experiences serving Capital One’s 100mm+ customers

Skills

Python programming

Java programming

Cloud deployment

PyTorch

LangChain familiarity

Agentic frameworks familiarity

Education

PhD in Computer Science/AI

Tools

AWS Ultraclusters

LangChain

LangGraph

LlamaIndex

Autogen

MCP/A2A

Frontier-Labs Agent SDKs

Job description

Capital One is seeking a PhD candidate to intern on AI-native product development, prototyping, and productionalization of AI systems. You will collaborate with research scientists, product managers, and engineers to ship advanced AI capabilities across multimodal search and intelligent document processing.

The role emphasizes Python/Java programming, AWS deployment, and experimentation with LLMs, reinforcement learning, and NLP. In-person at the assigned U.S. location; continental US only.