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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)
Ampliwork Montréal, Québec, CAN Office
300-6000 De Rome Boulevard, Montréal, Quebec, Canada
What you need to know about the Montreal Tech Scene
Key Facts About Montreal Tech
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- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
