2027 Agentic Engineering Intern

Description Technology: The Starwood Capital technology team runs the firm’s IT operations, including hardware, software and networking. The team plans, builds and supports the business applications that help people across the firm do their work efficiently and securely. More and more of that work uses AI agents: systems built on large language models that can reason, use tools and complete multi-step tasks for business users. About the Role: The intern will join the Global Technology team and help design, build and test AI agents and automations used in real business workflows at a global real estate investment firm. Projects will cover asset classes such as multifamily, office, hospitality and development, and will focus on data, analytics and process automation. The program is built for learning. Interns will be paired with a mentor, meet regularly for coaching and code reviews, and take on more ownership as they build skills. No one expects you to arrive as an expert in agentic AI. We care more about curiosity, good judgment and a willingness to experiment and learn from what doesn’t work. Responsibilities: Help build and prototype AI agents and workflows that automate business processes, such as document review, data extraction, reporting and research Connect agents to internal data sources, APIs and business applications Write and refine prompts, tool definitions and agent instructions, and learn the best practices for reliable agent behavior Help build evaluations and test cases that measure agent accuracy, find failure modes and support issue resolution Work with business stakeholders to understand their workflows, find automation opportunities and gather feedback on what you build Document agent designs, guardrails and usage guides; create presentations and demos for technical and non-technical audiences Attend team and project meetings, join code and design reviews, and contribute ideas to project teams Learn and apply the firm’s standards for data security, privacy and responsible AI use What You’ll Learn: How to design, build, evaluate and deploy AI agents in an enterprise setting Prompt and context engineering, tool use and multi-step agent workflows How technology supports investment and operations work at a global real estate firm Professional software practices: version control, code review, testing and documentation How to scope problems with business users and turn their needs into working solutions Requirements: Must be a 2028 college graduate Preferably majoring in Computer Science, Data Science, Engineering, Quantitative Finance or a related field Proficiency in at least one programming language (e.g., Python, Java, JavaScript or C#) Strong interest in AI and LLMs, shown through coursework, personal projects, hackathons or self-directed learning Exceptional attention to detail and an analytical, problem-solving mindset Strong interpersonal, organizational, verbal and written communication skills Comfortable with ambiguity, receptive to feedback and eager to learn quickly Nice to Have (not required): Experience with LLM APIs or agent frameworks (e.g., Claude, OpenAI, LangChain, MCP) Full-stack software or data development experience Familiarity with SQL, APIs, cloud platforms or Git Interest in real estate, finance or investment management Compensation: $33.65-$52.88 per hour