Software Engineering Intern - Agent Platform (AI)
TLDR
Build and extend an internal AI agent platform used company-wide, including LLM fine-tuning and agent-architecture work.
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.
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.
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.
Exowatt is transforming energy production with our innovative P3 system that captures solar energy, stores it as heat, and generates electricity on demand. We cater to the growing needs of AI infrastructure, providing a clean, modular, and scalable power solution that supports sustainable technological advancement.