Job Description
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.
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Job Details
- Category
- Software
- Employment Type
- Internship
- Location
- Austin, TX
- Posted
About Exowatt
Exowatt is a next generation renewable energy company offering commercial and industrial customers a modular full-stack energy solution that can provide dispatchable power and heat for up to 24 hours per day, specifically designed to meet the needs of energy-intensive applications such as data centers. Our mission is clear, to make sustainable renewable energy always available and almost free.
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