Ampliwork · 2 weeks ago
Applied AI Intern
Ampliwork, Inc. builds Enterprise-Grade AI Agents that amplify Human 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.
Artificial Intelligence (AI)Business IntelligenceDatabaseMachine LearningRoboticsSoftware
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/extend an automated evaluation harness; track win-rates, pass@k, precision/recall/F1, and task success
Run applied AI research: Scout papers/techniques, reproduce bite-size results, prototype ideas (self-reflection, 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
Qualification
Required
Analytical mindset
Attention to detail
Crisp communication
Comfort with spreadsheets/Docs
Bias for rapid iteration
Preferred
Strong Python and SQL foundations
Familiarity with evaluation metrics
Curiosity about LLM planning, retrieval augmentation, and agent architectures
A small repo
AI research paper summary
Write-up where you improved an agent/model or designed a solid eval
Benefits
Impact from day one: Your changes roll into agents real 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
Ampliwork
Our vision is to reimagine work through the implementation of enterprise grade AI agents designed to manage complex tasks.
Funding
Current Stage
Early StageCompany data provided by crunchbase