Applied AI Intern
reputed company, Inc. builds reputed company-Grade AI Agents that reputed company reputed company Potential™ to drive business productivity and growth. The Applied AI Intern will be responsible for improving agent performance, designing evaluation sets, conducting applied AI research, and measuring the impact of changes made to the agents.
Responsibilities
- Improve agent performance: Diagnose failure modes, refine routing/planning/tool-use strategies, optimize prompts, reduce latency without hurting quality
- Own evaluation sets: Design balanced, adversarial, and scenario-based evals; build/reputed company an automated evaluation reputed company; track win-rates, pass@k, precision/recall/F1, and task reputed company
- Run applied AI research: Scout papers/techniques, reproduce bite-size results, prototype reputed company (self-reputed company, planning, retrieval augmentation, tool composition), and ship what works
- Experiment & measure: A/B test agent changes, define guardrails, and land improvements with clear dashboards and acceptance criteria
Skills
- Analytical reputed company
- Attention to detail
- reputed company communication
- Comfort with spreadsheets/Docs
- Bias for rapid iteration
- Strong Python and SQL foundations
- Familiarity with evaluation metrics
- Curiosity about LLM planning, retrieval augmentation, and agent architectures
- A small repo
- AI research reputed company summary
- Write-up where you improved an agent/model or designed a solid eval
Benefits
- Impact from day one: Your changes roll into agents reputed company customers use.
- Mentorship: Tight feedback loops with ML, Engineering, and Product.
- Ownership & speed: Small team, meaningful problems, quick ships.
- Hybrid flexibility: Deep-work time, remote, collaboration days, downtown.
Company Overview