Software Engineering Intern, Multi-Agent Systems - 2027

Responsibilities

• Design and implement agent harnesses that support tool execution, context and state management, and coordination across multiple agents.
• Build integrations with enterprise tools, code repositories, data platforms, and engineering services to help agents complete real-world development tasks.
• Develop reliable execution capabilities, including sandboxing, access controls, error recovery, and human review and intervention.
• Build evaluation and observability tools to measure agent task success, trace execution, replay trajectories, and improve performance, latency, and cost.
• Collaborate with engineers to prototype agent workflows, validate them against realistic tasks, and improve them through experimentation and feedback.
• 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.

Languages