S&P Global→
AI Agent Developer, Summer Intern at S&P Global in Princeton, NJ
InternshipOn-siteFull-timePrinceton, NJ$52k–$62k/yr
Skills
llm-powered agentspythonai conceptsapisgenerative aiazure devopsanalytical thinking
Job Description
Summary: S&P Global is a leading organization that delivers essential intelligence for decision-making. They are seeking an AI Agent Developer Intern to support backend development and AI-driven enhancements for Enterprise Portfolio Management and Azure DevOps platforms, focusing on building scalable and secure solutions.
Responsibilities:
- Assist in building LLM-powered agents (e.g., task planning, tool-use, retrieval-augmented generation)
- Develop and maintain agent workflows: prompting strategies, function/tool calling, memory, and context management
- Integrate agents with APIs and systems e.g., internal services
- Create evaluation approaches for agent quality (accuracy, groundedness, latency, cost)
- Add safety and reliability controls: input/output validation, policy checks, rate limiting, fallbacks, and human-in-the-loop steps
- Write clear documentation for prototypes, experiments, and handoffs
Required Qualifications:
- Pursuing or recently completed a degree in Computer Science, Software Engineering, AI, or a related field
- Exposure to software development or AI concepts through coursework, projects, or internships (0–6 months preferred)
- Basic understanding of LLMs, Generative AI, and agent-based systems
- Proficiency in at least one programming language such as Python, JavaScript, or C#
- Familiarity with APIs, REST services, and backend development concepts
- Strong problem-solving and analytical thinking abilities
- Ability to learn new technologies quickly, especially in AI/ML domains
- Good communication skills and ability to document work clearly
- Ability to work collaboratively in a team environment
- This role is limited to persons with indefinite right to work in the United States
Preferred Qualifications:
- Experience with LLM frameworks (e.g., LangChain, Semantic Kernel, OpenAI APIs, Azure OpenAI)
- Understanding of Retrieval-Augmented Generation (RAG), embeddings, and vector databases
- Exposure to cloud platforms (AWS, Azure) and serverless architectures (e.g., Lambda)
- Knowledge of AI evaluation metrics such as accuracy, latency, cost, and hallucination detection
- Curiosity and passion for AI and emerging technologies
- Ability to experiment, prototype, and iterate quickly
- Attention to detail, especially in testing and validation
- Strong ownership mindset and willingness to take initiative
Required Skills: LLM-powered agents, Python, AI concepts
Important Skills: APIs, Generative AI, Azure DevOps
Nice-to-Have Skills: Analytical thinking
Benefits: Health & Wellness: Health care coverage designed for the mind and body., Flexible Downtime: Generous time off helps keep you energized for your time on., Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills., Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs., Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families., Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
Benefits
Health & Wellness: Health care coverage designed for the mind and body.
Flexible Downtime: Generous time off helps keep you energized for your time on.
Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.