Software Engineering Intern — Agent Platform (AI)

Key Responsibilities

• Build and ship new agent capabilities on the internal platform, deployed company-wide.
• Contribute to agent-platform architecture (tool/skill surfaces, runtime, deployment patterns).
• Work on LLM fine-tuning / custom-inference experiments — e.g. cheaper/faster models that hold frontier-level reliability for monitoring and ops workflows.
• During onboarding, read and improve existing internal apps (real platform improvements, not throwaway exercises).
• Help run weekly internal AI Office Hours teaching the broader company to use our AI agent tools.

Required Qualifications

• Pursuing a CS / software-engineering (or closely related) degree.
• Strong programming fundamentals; comfortable in Python.
• Working familiarity with LLMs / AI APIs and a genuine eagerness to build with them.
• Comfortable with Git and collaborative development.

Preferred / Nice-to-have Experience

• With agent frameworks, RAG, MCP, or prompt/tool design.
• Exposure to model fine-tuning or inference optimization.
• Cloud experience (AWS).
• Self-directed; thrives with real ownership in a fast-moving environment.