Exowatt
Software Engineering Intern — Agent Platform (AI)
Austin, TXinternshipinternAdded today
About this role
Join Exowatt's two-person intern team to build and deploy AI agents on the company's internal platform, with exposure to LLM fine-tuning and agent architecture integrated with AWS inference infrastructure.
What you'll do
- Build and deploy AI agents for company-wide internal use
- Harden and optimize agent systems for reliability and performance
- Contribute to LLM fine-tuning initiatives
- Work on agent architecture design and implementation
- Collaborate with AWS inference fellowship projects
- Support the scaling of the agent platform
What they're looking for
- Python or similar backend language
- Machine learning and LLM fundamentals
- AWS services and cloud deployment
- Agent design and orchestration patterns
- Software engineering best practices
- API development and integration
- Problem-solving and debugging
- Collaboration and communication
Benefits
- Work on cutting-edge AI infrastructure
- Mentorship from experienced engineering team
- Exposure to AWS inference fellowship
- Based in Austin, TX facility
- Backed by top-tier investors
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Exowatt
Exowatt builds an innovative solar-thermal-electric P3 platform for thermal energy storage and power generation designed to support AI infrastructure demands. The company is hiring Power Systems Engineers, Test Engineers, Quality & Reliability Engineers, and Electrical Engineers to develop and validate advanced power conversion technologies and grid interconnection systems.
View all jobs at ExowattLikely interview questions
- What experience do you have building or working with LLMs, and how would you approach learning our specific agent architecture?
- Describe a time you debugged a complex system—how did you approach identifying the root cause?