Year-Round Intern - AI Research & Engineering
Core
Design, prototype, and evaluate agentic AI solutions using frontier platforms to automate and enhance functional areas across a financial market infrastructure company.
Role type
Year-round AI Research & Engineering intern (agentic AI focus)
Builds
Agentic AI workflows and prototypes integrated with internal data sources and APIs
Domain
Financial services / AI / Agentic AI
Deliverable
production ML models
Required skills
Python, SQL, machine learning fundamentals, data analysis, API integration, test case design, risk awareness
Preferred skills
Generative AI (LLMs, prompt engineering), agentic systems, cloud platforms (AWS/Azure/GCP), data pipelines (Spark/Databricks), independent research projects
Technologies
Anthropic Claude, PyTorch, TensorFlow, Scikit-learn, AWS, Azure, GCP, Spark, Databricks
Responsibilities
Build and iterate on AI agent workflows, integrate solutions with internal systems, design evaluation frameworks for agent accuracy, partner on governance and risk considerations, document agent architectures and lessons learned, collaborate with business stakeholders to validate operational problems
Seniority
Undergraduate or graduate student (rising senior or 2nd year)