Jobs in Canada

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Added 14 days ago
AT
Generative AI Engineer
Arkhya Tech Inc.
Canada
- Contract
Added 14 days ago
R&
Software Developer IV
Robertson & Company Ltd.
Toronto, ON
- Contract
Robertson is seeking a skilled Software Developer IV (Senior Manager) to join our client in support of an existing vacancy.
Added 14 days ago
ES
Dynamics - Powerplatform Engineer
Epsilon Solutions Ltd.
Montreal, QC
- Contract
…solutions for business automation, customer interaction, and data-driven decision-making. They will be focused on LLM-based AI systems, conversational AI, and machine learning-driven…
Added 14 days ago
LH
Applied AI Developer III (AI Laboratory)
LGI Healthcare Solutions Santé Inc.
Montreal, QC
- Full-time
As an Applied AI Developer III within LGI's AI Lab, you will design and deploy artificial intelligence components integrated into LGI's healthcare solutions. As part of a small…
Added 14 days ago
YI
AI Engineer
YuJa Inc.
Toronto, ON · North York, Ontario
- Full-time
2-3 years’ experience in AI/ML Engineering or Applied Data Science
Added 14 days ago
LT
Playwright QA Specialist
Lorven Technologies Inc.
Mississauga, ON
- Contract
Working knowledge of Python scripting for test automation and data validation.
Added 14 days ago
A
Prompt Engineer - IA générative
Astek
Montreal, QC
- Full-time
…leurs besoins, les traduire en prompts efficaces et en code Python robuste, puis évaluer et suivre la performance des solutions dans le…
Added 14 days ago
T
Artificial Intelligence Engineer
Tekshapers
Mississauga, ON
- Full-time
Solid SQL, data modeling, and data engineering fundamentals.
Added 14 days ago
C
Senior Analyst , AI Operations & Governance
Ciena
Ottawa, ON
- Full-time
Bachelor's degree in Computer Science, Information Systems, Engineering, Cybersecurity, Data Analytics, Business Technology, or a related field, or equivalent practical experience.
Added 14 days ago
A
Manager, Data Analytics and Reporting
AstraZeneca
Mississauga, ON · Canada - Mississauga
- Full-time
That’s why we work, on average, a minimum of three days per week from the office
Added 14 days ago
IG
Data Engineer
Insight Global
Toronto, ON
- $60 to $80 CAD / hour
- Contract
We are seeking a Data Engineer to support a large enterprise transformation focused on building data pipelines, integrating data, and migrating data workloads from on-premises environments…
Added 14 days ago
SJ
Artificial Intelligence Engineer
So Jobs
Toronto, ON
- $148,200 to $169,100 CAD / year
- Full-time
Strong foundation in software engineering, algorithms, machine learning, and system design.
Added 14 days ago
JG
AI Engineer With strong Python Coding - 8+ Years
J2B Global LLC
Mississauga, ON
- Full-time
Solid SQL, data modeling, and data engineering fundamentals.
Added 14 days ago
IS
Technical Lead -ML Ops / AI Platform
Iris Software Inc.
Toronto, ON
- Contract
Location: Toronto, ON (Hybrid – 2-3 Days in Office/week)
Added 14 days ago
SM
Python Developer - Hybrid
S M Software Solutions Inc
Mississauga, ON
- Full-time
The Python Developer will develop software solutions using Python, applying strong software engineering principles and data manipulation techniques. The role involves analyzing source code…
Added 14 days ago
LH
Applied AI Developer III (AI Laboratory)
LGI Healthcare Solutions
Montreal, QC
- Full-time
As an Applied AI Developer III within LGI's AI Lab, you will design and deploy artificial intelligence components integrated into LGI's healthcare solutions. As part of a small…
Added 14 days ago
Senior Lead Systems Engineer
Braze
Toronto, ON
…generation of enterprise technology through automation, software engineering, AI, and intelligent integrations. In this role, you'll architect scalable solutions that connect the systems…
Added 14 days ago
PG
Platform Engineering – Data Infrastructure III
Peoples Group
AB · Vancouver, BC · Toronto, ON · Calgary, AB
- Full-time
…fast and safely they can ship. Here, your customers are our data teams, and the platform you build powers products used by merchants and service providers across Canada. You have designed a…
Added 14 days ago
P
Senior Software Engineer, AI
Pebl
Remote, Canada
- $122,835 to $180,000 CAD / year
- Full-time
- Remote
Our values guide how we operate, execute, and collaborate across borders
Added 14 days ago
AB
2027 Winter Co-Ops - Data Analytics - Demonware (Vancouver)
Activision Blizzard, Inc.
Vancouver, BC
- Full-time
This role is based on-site at the Demonware Vancouver office, following the team’s hybrid schedule (4 days per week in the office)
Added 14 days ago
CS
Azure Databricks Architect
Confiar Services
ON · Ontario, Canada
- Contract
We are seeking a Principal Azure Databricks Architect to design, architect, and deliver scalable, high-performance data solutions on Microsoft Azure. The ideal candidate will have strong…
Added 14 days ago
AI
Senior Power Platform Engineer – AI & Copilot
Aptino, Inc.
Quebec, QC
- Contract
…and scalable automation solutions integrated with enterprise data…
Added 14 days ago
IG
Data Engineer
Insight Global
Toronto, ON
- $85 to $89 CAD / hour
- Contract
Use Python and SQL extensively for data development and manipulation.
Added 14 days ago
IG
Data Engineer
Insight Global
Toronto, ON
- $70 to $82 CAD / hour
- Contract
Use Python and SQL extensively for data development and manipulation.
Added 14 days ago
S
Intermediate Data Engineer
Swoon
Toronto, ON
- $80 to $90 CAD / hour
- Contract
Develop and maintain solutions using Python, SQL, and cloud-based data engineering tools.

LGI Healthcare Solutions

Applied AI Developer III (AI Laboratory)

Montreal, QC, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Apr 24, 2027
Experience: 5+ years of experience developing robust software applications or services, with a solid understanding of designing resilient and maintainable solutions.
Posting language: English
Posted: Oct 26, 2026

Original job description

For over 40 years, LGI has built software that healthcare organizations depend on. AI is now at the heart of that work, not as a destination, but as the engine behind our next generation of mission-critical solutions and our enduring mission: helping healthcare organizations perform at their best.

We're looking for exceptional people who are passionate about technology, relentless in their standards, and driven to push what's possible further. At LGI, curiosity isn't a nice-to-have, it's how we work. We're looking for talent who explore and innovate by instinct and want their work to matter beyond the codebase, shaping decisions, enhancing processes, and enabling healthcare practitioners.

Job Description

*** Bilingualism (English and French) is mandatory. Interviews are conducted mostly in French ***

As an Applied AI Developer III within LGI's AI Lab, you will design and deploy artificial intelligence components integrated into LGI's 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 today's AI technologies in response to the practical needs of healthcare professionals.

What You'll 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 Quebec's 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 LGI's 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 LGI's 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.
Bachelor's 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, Quebec's 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 320,000 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.

Apply on LinkedIn About employer

More about this job

Responsibilities

Prototype, develop, and integrate AI capabilities into healthcare products, including LLM-powered features, NLP components, and RAG pipelines for clinical and administrative data. Support deployment and operations by building AI pipelines, monitoring quality, performance, and cost, and collaborating with product, R&D, and architecture teams on reliable, compliant solutions.

Requirements

Requires a bachelor's degree in a relevant field or equivalent practical experience, at least five years developing robust software applications or services, and demonstrated experience in AI/model integration, data engineering and RAG, or AI deployment and operations. Candidates should have strong Python and modern AI ecosystem skills, hands-on experience with AI development tools, and an understanding of data quality, governance, and human oversight; English-French bilingualism is mandatory.

Skills

Python
AI Model Integration
LLM Development
RAG Architecture
Data Engineering
MLOps
LLMOps
Data Governance
NLP
AI Prototyping
CI/CD
Model Evaluation
Vector Databases
Semantic Search
C#/.NET
Healthcare Data

Benefits

Group Insurance
Group RRSP With Employer Contributions
24/7 Telemedicine
Employee and Family Assistance Program
Minimum Three Weeks of Vacation Per Year
Dedicated Training Time
Skills Development Platform

Visa sponsorship

Not detected in the job text

Keywords

Python
C#/.NET
Large Language Models
AI Model APIs
RAG
MLOps
LLMOps
Claude Code
OpenCode
Codex
MCP
ETL
Vector Databases
Semantic Search
NLP
LangChain
LlamaIndex
Hugging Face Transformers
Ollama
vLLM
Azure OpenAI
PEFT
LoRA
CI/CD
HL7 v2
FHIR
Quebec Law 25
PIPEDA
Healthcare Technology
Data Governance

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Work requirements

Jobs in Canada