Medfar
Generative AI (GenAI)
Montreal, Quebec, Canada · Full-time
Sponsorship not specifiedDetected 51 days ago
PythonCI/CDMachine LearningLLMsLLMOpsOnboardingManual TestingCollaborationMentoring
About the role
- This is a senior individual contributor role with a clear growth path toward mentoring and leading a prompt engineering practice as MEDFAR's AI product surface expands.
- Who you are: - You understand that great prompt engineering is as much about thinking clearly as it is about technical execution.
- If you need accommodation during your interview, please let us know so that we can provide you with an adapted experience.
Responsibilities
- Experience designing or significantly improving LLM evaluation frameworks - rubric design, inter-rater alignment, and failure mode analysis.
Requirements
- You are model-agnostic in mindset: you care about output quality and understand that the best tool for a task may not be the most popular or most expensive one.
- You are comfortable operating in ambiguity and iterating quickly, while maintaining rigorous documentation of what you've tried and why.
- You are a strong collaborator who can communicate nuanced AI quality concepts to non-technical stakeholders, clinical users, and developers alike.
- You have the seniority and judgment to work with significant autonomy, while knowing when to align and escalate.
Nice to have
- 5+ years of professional experience in AI/ML, product development, computational linguistics, or a closely related field.
- 2+ years of hands-on prompt engineering experience in production LLM systems, ideally in a B2B SaaS or regulated industry context.
- Demonstrable experience decomposing complex prompts into modular, chained architectures (e.g., using patterns such as prompt chaining, routing, reflection, or tool use).
- Strong familiarity with frontier commercial LLM APIs (OpenAI, Anthropic, Google, etc.) and the practical tradeoffs between them.
- Proficiency in Python or another scripting language for building eval pipelines or prompt tooling is an asset.
- Experience with self-hosted or open-weight models is an asset.
- Advanced proficiency in English, both written and spoken;
- French is also required due to frequent client interactions
Skills
- Contribute to internal documentation, standards, and best practices for prompt engineering at MEDFAR.
Compensation
- Annual training allowance ($1,500) to support your professional development
Benefits
- An onboarding program to help you get familiar with our environment and the digital healthcare field
- Support from a wellness and social committee, with initiatives to foster team cohesion, mental health, and employee well-being
- Join a dynamic and innovative environment where your work has a real and wide-reaching impact, helping to modernize healthcare in Canada and internationally
This listing is sourced directly from Medfar's careers page and normalized into a canonical job model.