Applied AI Developer III (AI Laboratory)

As an Applied AI Developer III within LGIs AI Lab you will design and deploy artificial intelligence components integrated into LGIs healthcare solutions. As part of a small multidisciplinary team dedicated to applied AI your work will focus on one or more of the following areas: AI application development and model integration data architecture and RAG systems and/or AI deployment and operations (LLMOps).

This is not a fundamental research position. You will explore and prototype solutions in an environment where selected approaches may ultimately be integrated into production products subject to real-world requirements related to compliance performance and data sovereignty. The role is primarily focused on experimentation and demonstrating what is possible with todays AI technologies in response to the practical needs of healthcare professionals.

What Youll Do

AI Prototyping & Development

• Build prototypes assess technical feasibility and iterate rapidly to validate concrete AI use cases.
• Develop AI-powered features and services integrated into LGI products including information extraction clinical summarization decision support documentation generation and more.
• Integrate LLMs and model APIs into existing product workflows while evaluating and optimizing cost quality and latency.
• Test and support the production deployment of AI applications developed within the AI Lab.

Data Quality & RAG Architecture

• Design and implement RAG (Retrieval-Augmented Generation) pipelines for semantic search and contextual generation across structured and unstructured clinical and administrative data.
• Build and maintain data ingestion indexing and structuring pipelines while ensuring data quality freshness traceability and governance in compliance with Quebecs Law 25 and PIPEDA requirements.
• Develop NLP components for extraction analysis classification and structured output of medical texts and healthcare data.

Deployment Operations & LLMOps

• Build and maintain AI deployment pipelines including CI/CD processes model versioning prompt management and tooling.
• Monitor model quality performance and costs; identify reliability security and incident management requirements including rollback and escalation strategies.
• Establish evaluation metrics for AI pipelines including relevance hallucination rates latency and model drift.
• Maintain thorough technical documentation of architectures design decisions and operational practices.

Collaboration & Knowledge Sharing

• Work closely with LGIs R&D Product and Architecture teams.
• Participate in AI technology monitoring and contribute to the definition of standards best practices and governance frameworks.

Types of Projects in the AI Lab

Depending on ongoing initiatives and your background you will explore different approaches build prototypes and evaluate their potential before contributing to the incubation and integration of the most promising solutions.

Projects may include:

• Adding new capabilities to our products using LLMs specialized or predictive models AI services and optimization algorithms.
• Leveraging structured and unstructured data to make information more accessible and actionable through ingestion semantic search and RAG-based approaches.
• Automating tasks and business processes extracting and transforming information and supporting decision-making.
• Experimenting with and comparing various models architectures and approaches to assess quality reliability latency cost and security implications.
• Evolving promising prototypes into robust observable and product-ready solutions that can be seamlessly integrated into LGIs offerings.

Qualifications :

Profile & Core Competencies

• Strong technical curiosity and a genuine interest in AI experimentation and continuous learning.
• Self-driven and resourceful with the ability to thrive in an environment where solutions and processes are not always predefined.
• Versatility and the ability to work across multiple layers of a solution stack.
• Experimental and pragmatic mindset capable of rapidly prototyping testing hypotheses and adapting based on results.
• Strong critical thinking skills and rigorous judgment particularly when evaluating outputs generated by AI systems.
• Commitment to quality performance and reliability.
• Ability to collaborate effectively within a small multidisciplinary team.
• Bachelors degree in Computer Science Software Engineering Data Science or a related field or equivalent practical experience.

Required Qualifications

• 5 years of experience developing robust software applications or services with a solid understanding of designing resilient and maintainable solutions.
• Demonstrated experience in at least one of the following areas:
  • LLM and AI model integration
  • Data engineering and RAG architectures
  • AI deployment MLOps or LLMOps

• Strong understanding of data quality transformation traceability and governance considerations in AI systems including appropriate levels of human oversight.
• Recent hands-on experience with AI solutions and modern AI development tools (e.g. Claude Code OpenCode Codex MCP Skills) and the ability to critically assess their outputs strengths and limitations.
• Strong proficiency in Python and the modern AI ecosystem.

Preferred Qualifications

• Technical portfolio personal or professional projects open-source AI contributions or a GitHub profile showcasing relevant achievements.
• Experience in digital health or other regulated industries; familiarity with HL7 v2 FHIR Quebecs Law 25 and PIPEDA.
• Experience with sovereign or on-premises AI deployments (e.g. Ollama vLLM Azure OpenAI on private infrastructure); familiarity with MLOps/LLMOps practices and fine-tuning techniques such as PEFT and LoRA.
• Backend development experience with C#/.NET to facilitate collaboration with LGI product teams.
• Experience with technical components commonly associated with AI applications such as:
  • Data ingestion and transformation pipelines (ETL)
  • Vector databases and semantic search technologies
  • Natural Language Processing (NLP)
  • Algorithmic optimization techniques
  • AI orchestration frameworks (e.g. LangChain LlamaIndex Hugging Face Transformers)

Additional Information :

Why join LGI 

• A workplace built on trust autonomy and collaboration.
• The opportunity to grow perform and work alongside curious and talented colleagues.
• A continuous learning culture with dedicated training time a renowed skills development platform and access to cutting-edge tools.
• Stimulating projects that advance healthcare technology and support the work of over 320000 professionals benefiting more than 6 million patients.
• A comprehensive benefits package including group insurance from day one a group RRSP with employer contributions 24/7 telemedicine an employee and family assistance program and a minimum of 3 weeks vacation per year 

At LGI Healthcare Solutions we value diversity and equal access to employment. 

Remote Work :

No

Employment Type :

Full-time