AI Engineer Intern

Who we are looking for

We are looking for a motivated AI Engineering Intern to join the State Street Associates team. The candidate will work with experienced engineers to design, develop, and test end-to-end AI applications powered by Large Language Models (LLMs).

This is a hands-on engineering role for students who are passionate about AI and interested in turning emerging AI technologies into practical applications.

What you will be responsible for

The candidate will be involved in:

• Design and develop LLM-powered applications and AI agents using Python.
• Work on key components of end-to-end AI solutions, including prompt engineering, RAG (Retrieval-Augmented Generation), agent workflows, tool integration, and APIs.
• Explore and evaluate AI frameworks and technologies such as LangChain, LangGraph, vector databases, and LLM APIs.
• Write clean, maintainable code and develop unit tests to ensure solution quality and reliability.
• Participate in debugging, testing, and performance improvement of AI applications.
• Collaborate with senior developers, QA engineers, and other team members throughout the software development lifecycle.
• Research and experiment with new AI/LLM technologies and contribute ideas to prototypes and production solutions.

What we value

• Strong interest in AI, Large Language Models, and Agentic AI.
• Solid problem-solving skills and willingness to learn new technologies quickly.
• Ability to work with senior developers on AI application development, testing, and troubleshooting.
• Hands-on mindset and curiosity about how AI systems work beyond simply calling an LLM API.
• Good communication skills and ability to collaborate effectively within an engineering team.

Education & Preferred Qualifications

• Currently pursuing a BS/MS in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field.
• Good programming skills in Python.
• Basic understanding of software engineering concepts, including APIs, Git, unit testing, and debugging.
• Basic understanding of Large Language Models (LLMs) and generative AI concepts.
• Experience with one or more of the following is a plus:
  • LangChain / LangGraph or similar AI frameworks
  • RAG and vector databases
  • Prompt engineering
  • Cloud platforms such as AWS or Azure
  • Machine Learning / NLP
• Previous AI/LLM projects, coursework, hackathons, or open-source contributions are a plus, but not required.
• Most importantly, a strong passion for AI and eagerness to learn and build.

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

Discover more information on jobs at StateStreet.com/careers

Read our CEO Statement