What We Need to See
Currently pursuing a master’s, or PhD in Computer Science, Electrical Engineering, or a related field.
Programming experience in at least one language, such as Python, C, C++, Rust, or TypeScript, and an understanding of software engineering fundamentals, including data structures, APIs, testing, and debugging.
Basic familiarity with LLM APIs and an interest in agent systems. Exposure to concepts such as prompting, agent loops, skills, subagents, Model Context Protocol (MCP), tool use, or agent memory through coursework or personal projects is a plus.
Hands-on software development experience through coursework, research, internships, open-source contributions, or personal projects.
Interest in multi-agent systems, with the ability to investigate problems, experiment, and communicate technical findings clearly.
Regular use of agentic coding tools such as Codex, Claude Code, Cursor, or similar products, with curiosity about how they work and an interest in exploring their underlying implementation.
Ways to Stand Out from the crowd
Experience building an agent harness or multi-agent application, including task delegation, shared state, memory, or coordination between agents.
Experience testing an agent on sample tasks and comparing results to identify improvements.
Basic familiarity with Linux, Git, containers, or cloud platforms.
Interest in secure agent execution, including permissions, sandboxing, and human review.
Open-source contributions or small projects using AI agents to automate coding, testing, or data analysis.
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