Applied AI Intern

**About Ampliwork, Inc** Ampliwork builds Enterprise-Grade AI Agents that amplify Human Potential™ to drive business productivity and growth since 2017. Ampliwork’s AI Agents streamline complex multi-step workflows in highly regulated industries such as Financial Services. ****The Mission**** Our AI agents run complex, high-stakes workflows for enterprise customers. Your job: make them smarter, faster, and more reliable. You’ll iterate on agent behavior, design rigorous evaluation sets, and run focused AI research—shipping improvements tied to real metrics. **What You’ll Do**

- 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.

**What You’ll Work With** Python

- SQL - Git - RAG Pipelines - Document Parsing/Extraction Pipelines - Eval Pipelines - Jupyter - Experiment Tracking - Prompt/Agent Tooling - Retrieval & Tool Orchestration - Metrics Dashboards

**What We’re Looking For** Must-haves: Analytical mindset, attention to detail, crisp communication, comfort with spreadsheets/Docs, and a bias for rapid iteration. Nice-to-haves: Strong Python and SQL foundations; familiarity with evaluation metrics; curiosity about LLM planning, retrieval augmentation, and agent architectures. Bonus signals: A small repo, AI research paper summary, or write-up where you improved an agent/model or designed a solid eval. ****Why you’ll love it****

- 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.

****Logistics & eligibility**** ****Language:**** English (French an asset). ****Targeted fields of study:**** Engineering, Computer Science/IT, Physical Sciences. **How To Apply** ****Deadline:**** November 15, 2025, 11:59 PM ET (applications reviewed on a rolling basis) ****Submit:**** Resume + transcript + Cover Letter (optional)