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William Blair

Investment banking, research, brokerage, asset management

Agentic AI Development Intern

AI Application EngineeringUpdated on Nov 4
Internship · Summer 2027Chicago, IL, USA

About the Job

Requirements

  • Be a full-time student currently pursuing a Bachelor's degree in Computer Science/Engineering, Data Science, or a related field, with anticipated graduation between December 2027 and June 2030.
  • Have coursework or project experience in Python and familiarity with at least one of JavaScript/TypeScript, C#, or SQL.
  • Have a foundational understanding of large language models and machine learning concepts.
  • Understand data structures, algorithms, and APIs.
  • Have a strong interest in AI and agentic development and the ability to learn new technologies quickly.
  • Have communication, presentation, critical-thinking, and problem-solving skills.
  • Be organized, detail-oriented, and able to work well in team environments.

Responsibilities

  • Help design, build, and test AI agents and agentic workflows that automate tasks for firm teams, including summarizing research, extracting data from financial documents, and preparing for client meetings.
  • Connect agents to firm data sources, APIs, and Microsoft 365 applications using tool calling and the Model Context Protocol, with guidance from senior engineers.
  • Apply prompt engineering, context engineering, and retrieval-augmented generation techniques to improve agent accuracy and reliability.
  • Use AI coding assistants to accelerate development while following coding, testing, code review, and release standards.
  • Create evaluations and test cases that measure agent accuracy, cost, and performance before release to users.
  • Follow AI, information security, and data privacy policies, including access controls, guardrails, and human review of agent output in a regulated financial services environment.
  • Work in Agile teams with engineers, product managers, and business partners to gather requirements, share progress through demonstrations, and present a final project to technology leadership.

Desired Qualifications

  • Have projects, hackathons, or coursework building with large language model APIs such as Anthropic Claude or Azure OpenAI.
  • Be familiar with agent frameworks and software development kits such as Claude Agent SDK, LangChain/LangGraph, or Microsoft Semantic Kernel.
  • Be familiar with Model Context Protocol servers, multi-agent systems, or retrieval-augmented generation pipelines using vector search.
  • Have experience with AI coding tools such as Claude Code or GitHub Copilot.
  • Be familiar with Microsoft Azure, Databricks, Git, and Azure DevOps.
  • Have an interest in financial services and how AI can support investment banking, investment management, and wealth management.
  • Have a GitHub portfolio demonstrating AI or software projects and experience with Agile practices.

About the Company

William Blair

Investment banking, research, brokerage, asset management

William Blair is a privately held, employee-owned financial services firm that offers investment banking, equity research, brokerage, asset management, and private capital services. It combines advisory, research, trading, asset management, and private capital solutions to help clients raise, invest, and manage capital. Being privately held and employee-owned differentiates it from many competitors and supports a client-focused, multi-disciplinary approach under one firm. Its goal is to help clients grow and protect their capital by providing comprehensive financial services and access to private capital when needed.

Company size
1,001-5,000
Company stage
Not listed
Total funding
$754.4M
Headquarters
Berlin, Germany
Founded
1935

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