MEDFAR Clinical Solutions

Healthcare

ConversationalAI|PromptEngineer

Montreal, Quebec, Canada FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for not-applicable candidates.

The Brief

“Conversational AI | Prompt Engineer at MEDFAR Clinical Solutions. Skills: Prompt engineering, LLM evaluation, Clinical AI. Audit and re-architect prompts. Lead selection of language models”

What You'll Achieve.

Shaping the quality, reliability, and evolution of generative AI features; Ensure AI-generated output meets high standards; Promoting excellence and effectiveness in healthcare worldwide

Industry & Context.

Healthcare
Problems you'll solve

Break complex problems into focused sub-problems; Operating in ambiguity

Eligibility Requirements

Candidates must reside in the province of Quebec, Occasional in-office presence may be required

What They're Looking For.

Must 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, Demonstrable experience decomposing complex prompts into modular, chained architectures, Experience designing or significantly improving LLM evaluation frameworks, familiarity with frontier commercial LLM APIs (OpenAI, Anthropic, Google, etc.), Advanced proficiency in English, both written and spoken, French is also required

Nice to Have

Experience working within or alongside healthcare, clinical, or life sciences domains is a asset, 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

What You'll Do.

Audit and re-architect prompts

Lead selection of language models

Own quality of AI-generated outputs

Evolve evaluation framework

Establish systematic approach to validation

Design and implement new prompts

Collaborate with GenAIOps

Develop understanding of clinical workflows

Stay current on LLM landscape

Contribute to internal documentation

Mentor future prompt designers

How You'll Work.

Team & Collaboration

Working closely with product designers; Working with developers; Working with QA; Working with client-facing teams; Collaborate with the GenAIOps; Communicating AI quality concepts to non-technical stakeholders

Communication Scope

Advanced proficiency in English; French is also required; Communicate nuanced AI quality concepts

Full Job Description

MEDFAR Clinical Solutions was founded in 2010 by two aeronautical engineers who realized that the healthcare system was not exploiting the full potential of technology. Supported by a large community of medical experts and focused on clinical success and patient safety, MEDFAR was the first company to certify a cloud-based Electronic Medical Record in Canada: MYLE (Make Your Life Easy). Committed to promoting excellence and effectiveness in healthcare worldwide, MEDFAR differentiates itself by offering a unique healthcare management solution for clinics, which replaces inefficient processes with a faster and safer technological alternative. As a Senior Prompt Designer, you will play a defining role in shaping the quality, reliability, and evolution of MEDFAR's generative AI features — most notably [CoeurWay](https://www.careway.ai/en), our AI-powered clinical scribe, and emerging AI capabilities within MYLE EMR. Reporting to the Director of UX, you will sit at the intersection of product, clinical quality, and AI craft, working closely with product designers, developers, QA, and client-facing teams to ensure that every AI-generated output meets the high standards required in a healthcare setting. 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. Main Responsibilities * Audit and re-architect CoeurWay's existing monolithic prompts into a modular chain of focused, maintainable prompts — improving robustness, debuggability, and adaptability. * Lead the selection, evaluation, and pairing of language models to specific prompt tasks, fostering a model-agnostic approach that reduces vendor dependency and optimizes for quality and cost. * Own the quality of AI-generated clinical outputs: define what "good" looks like, identify failure modes, and drive continuous improvement through structured validation processes. * Evolve and re-align our existing evaluati

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