Applied AI Engineer Intern - Advancing Agent Quality

About the job

Role Type: External Research Affiliate / Think Tank Contributor Location: South Florida preferred Affiliation: Local university-based Masters or PhD researcher or postdoctoral AI researcher working under faculty direction Organization: Brightstar.AI http://Brightstar.AI

Role Summary

Brightstar.AI http://Brightstar.AI is seeking a full-time or recently graduated Masters or PhD-level Applied AI Engineer Intern – Advancing Agent Quality with a strong research mindset, affiliated with a leading (South Florida) university, to contribute to its AI Think Tank and to the hands-on build-out of Brightstar’s proprietary AI systems. The intern will pair academic rigor with applied engineering: building the evaluation environments, automated raters, and diagnostic tooling that establish — with evidence rather than impression — whether an agent is reliable enough to put in front of operators, executives, and investors.

The first concrete assignment is the AI Twin Board, Brightstar’s proprietary board-simulation product, where the intern will help build the evaluation harness end to end: realistic task suites, calibrated LLM judge, failure-mode diagnostics, and the data flywheel that feeds improvements back into the agents themselves. The AI Twin Board is the starting point, not the full scope — as Brightstar’s AI portfolio expands, the same quality discipline will be applied to other agentic systems, internal platforms, and portfolio-company deployments.