Applied AI Intern

1 week ago

Montreal, Quebec, Canada Ampliwork Full time $80,000 - $120,000 per year

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, , 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)

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