Team Lead, Software Development (AIML)

Lead the development of our AI/ML integration layer team responsible for delivering AI capabilities to internal product squads and external stakeholders enabling seamless integration of AI/ML-powered features into our products.

This position combines hands-on development with technical leadership. The ideal candidate has a strong background in software engineering  proven experience leading teams and a solid understanding of AI/ML technologies. You will collaborate with technical and product-focused stakeholders to deliver scalable reliable and secure services that bring the latest advancements in AI to production.

Responsibilities

• Build mentor and guide a high-performing AI software development team of 5; set technical direction standards and delivery practices.
• Own the end-to-end lifecycle of ML/LLM solutions: problem definition data sourcing and labeling feature developing model training/finetuning evaluation deployment and continuous improvement which include : 
  • Architecture and delivery of resilient microservices and APIs that power AI features with strong observability security and performance.
  • Designing retrievalaugmented generation (RAG) and agentic workflows; manage prompt and model versioning guardrails and safety policies.
  • Executing hybrid model strategy: integrate thirdparty providers and run selfhosted/opensource models when cost privacy or latency require it.
  • Establishing MLOps foundations: experiment tracking model registry feature store automated training pipelines CI/CD for models and services and blue/green or canary rollouts.
  • Implementing online/offline evaluation humanintheloop review A/B testing and analytics to validate impact and guide iteration.
  • Ensuring data privacy and compliance (e.g. PHI/PII handling) threat modeling encryption access control and auditability.
• Collaborate with stakeholders to align roadmaps prioritize outcomes and communicate tradeoffs and risks.

Qualifications :

• University Degree in Computer Science Engineering Mathematics or a related fieldor equivalent practical experience.
• 10 years of experience in software development as well with 3 years in AI/ML development and several years in team leadership.
• Demonstrated leadership of development teams delivering AIbacked features to production with clear business impact.
• Handson track record building RAG pipelines evaluation harnesses and safety/guardrail systems for LLMs.
• Experience with various model tuning techniques (e.g. SFT LoRA/QLoRA DPO/RLHF)
• Proficiency in Python and at least one additional language (e.g. C# Go Java TypeScript) with strong software design testing and CI/CD practices.
• Experience designing and operating distributed systems and APIs with robust telemetry (metrics logs traces) and SLO/SLA thinking.
• Data engineering fluency: SQL data modelling quality checks and streaming/batch pipelines; familiarity with vector stores and embeddings.
• Comfortable across major cloud providers and Kubernetes; ability to select managed services vs. selfhosted stacks based on latency cost and privacy constraints.
• Strong communication and product sense; ability to translate ambiguous problems into iterative measurable delivery.
• Depth in machine learning fundamentals (classical ML and deep learning/transformers) and practical model development tuning and alignment methods.
• Bilingual (French and English)

Nice to Have

• Background with healthcare or other regulated domains.
• Experience with Azure and ecosystem alongside Python.

Additional Information :

At MEDFAR we promote efficiency and excellence in healthcare by offering the most efficient electronic medical record (EMR) on the market. Joining the ranks of MEDFAR means working in a dynamic environment where trust innovation quality and client success guide our days.

• You decide where you do your best work (at home or at the office)
• Flexible hours (work-life balance)
• Generous group insurance coverage as of day 1 of employment
• Break paid between Christmas and New Years
• $ 1500 allocated to you for your professional development
• Dynamic and multicultural work environment

Recruitment Process 

Virtual Screen with HR - Case Study Interview - Offer

With offices around the world fluency in both French and English is a must at MEDFAR. Because of the need to communicate with colleagues and/or customers in other provinces or countries bilingualism enables us to communicate in both languages while promoting the use of French. 

At MEDFAR we value diversity equity and inclusion within our team. We are committed to providing a work environment where every individual feels respected and supported regardless of their background identity or part of our commitment to a fair and inclusive recruitment process we offer accommodation to candidates who request it. If you need accommodation during your interview please let us know so that we can provide you with an adapted experience.

MEDFAR has voluntarily subscribed to an Equal Employment Opportunity Program (EEOP). We encourage applications from women visible minorities ethnic minorities aboriginal peoples and people with disabilities. When applying we invite you to complete this section which enables us to implement our Equal Employment Opportunity Program (EEOP). Self-identification is not compulsory but may enable you to benefit from hiring or promotion measures if you have the skills required for the job.

To better understand the self-identification process please consult this guide.