Jobs in Canada

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Added 4 days ago
D
Software Engineer in Test
Dexian
Mississauga, ON
- Other
We are seeking a visionary and hands-on Senior Software Development Engineer in Test (SDET)/Quality Engineering Architect to define, champion, and drive the global quality engineering…
Added 14 days ago
FE
Applied AI Engineer – Agents & Automation
Future Electronics
Kirkland, QC
- Full-time
The Frontier AI Deployed Engineer is a member of Future Electronics' AI & Automation Center of Excellence and works directly with business and technology teams to discover, design, build,…
Added 16 days ago
D
Software Engineer - Frontier
Deloitte
Toronto, ON
- Full-time
We’re looking for a Software Engineer to design and build scalable applications and services.
Added 17 days ago
RI
Senior Software Development Engineer in Test (SDET)
Rose International
Mississauga, ON
- Full-time
Certified Software Test Architect / ISTQB Advanced Level (Test Automation Engineer / Technical Test Analyst).
Added 17 days ago
D
Software Engineer in Test
Dexian
Mississauga, ON
- Other
We are seeking a visionary and hands-on Senior Software Development Engineer in Test (SDET)/Quality Engineering Architect to define, champion, and drive the global quality engineering…
Added 23 days ago
IM
AWS Solutions/Services Architect
Ingram Micro
Montreal, QC · Mississauga, ON · ON · Canada - Ontario - Corporate
- Full-time
Ingram Micro is a leading technology company for the global information technology ecosystem. With the ability to reach nearly 90% of the global population, we play a vital role in the…
Added 23 days ago
Lead Software Engineer, Full-Stack Applications - AI Innovation squads
Fitch Group
Toronto, ON
Fitch Ratings is seeking a Lead Software Engineer to join our Innovation Tiger Team in Toronto - a greenfield initiative at the forefront of how AI will transform financial analysis. This…
Added 23 days ago
FG
Lead Software Engineer, Full-Stack Applications - AI Innovation squads
Fitch Group, Inc.
Toronto, ON
- Full-time
Fitch Ratings is seeking a Lead Software Engineer to join our Innovation Tiger Team in Toronto - a greenfield initiative at the forefront of how AI will transform financial analysis. This…
Added 28 days ago
C
Développeur expert IA
CGI
Montreal, QC
- Full-time
Design, develop, and deploy autonomous and semi autonomous AI agents to automate complex tasks across the software development lifecycle (SDLC).
Added 28 days ago
FE
Frontier Deployed Engineer
Future Electronics
Kirkland, QC
- Full-time
The Frontier Deployed Engineer is a member of Future Electronics' AI & Automation Center of Excellence and works directly with business and technology teams to discover, design, build, and…
Added 1 month ago
Q
FY27 Intern - Firmware/Embedded Software Engineering Internship - Canada (12 or 16 months)
Qualcomm
Toronto, ON
- Full-time
The team owns the full embedded software stack that controls the hardware, including low-level firmware running on RISC-V-based controllers, customer-facing C and Python SDKs, lab tools and…
Added 1 month ago
GT
Senior QA Automation Engineer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $90 to $100 CAD / hour
- Contract
Onsite Flexibility: Hybrid - four days per week onsite, with one remote day based on team and business needs
Added 2 months ago
Lead Software Engineer, Full-Stack Applications - Innovation Teams
Fitch Group
Toronto, ON
Fitch Ratings is seeking a Lead Software Engineer to join our Innovation teams in Toronto - a greenfield initiative at the forefront of how AI will transform financial analysis. This isn't…

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CGI

Développeur expert IA

Montreal, QC, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 16, 2026
Experience: Minimum 5 years of experience in software development, including at least 2 years focused on applied AI/ML.
Posting language: English
Posted: Oct 17, 2026

Original job description

Responsibilities:

Design, develop, and deploy autonomous and semi autonomous AI agents to automate complex tasks across the software development lifecycle (SDLC).

Design and implement MCP (Model Context Protocol) servers to integrate large language models (LLM) with internal systems, development tools, and enterprise data sources.

Identify acceleration opportunities within the SDLC (code generation, code review, automated testing, documentation, deployment) and design tailored AI solutions.

Develop robust prompt engineering pipelines and agent chains (multi agent orchestration) to solve concrete business problems.

Integrate generative AI solutions (LLM, RAG, agents) with existing DevOps tools (CI/CD, ticketing systems, version control, etc.).

Collaborate with development, architecture, and operations teams to drive the adoption of AI practices within product teams.

Ensure the quality, reliability, and observability of AI agents in production (monitoring, tracing, output evaluation).

Actively monitor technological developments in LLMs, agent frameworks, and integration protocols (MCP, OpenAI function calling, tool use, etc.).

Document architectures, technical decisions, and usage guides for internal teams.

Required Qualifications:

Minimum 5 years of experience in software development, including at least 2 years focused on applied AI/ML.

Hands on experience developing AI agents using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or equivalents.

Proficiency in setting up MCP servers and integrating LLMs via APIs (OpenAI, Anthropic, Azure OpenAI, etc.).

Strong Python experience and solid knowledge of software development best practices (testing, code review, versioning).

Experience with RAG (Retrieval Augmented Generation) architectures and vector databases (Pinecone, Weaviate, pgvector, etc.).

Good understanding of the SDLC and DevOps/MLOps practices (CI/CD, Docker, Kubernetes, Git).

Ability to communicate complex technical concepts to non technical stakeholders.

Bilingual (French and English).

Additional Assets:

Experience with AI powered developer tools: GitHub Copilot, Cursor, Codeium, or similar solutions.

Knowledge of agent integration protocols: MCP (Model Context Protocol), OpenAI Assistants API, tool use (Anthropic).

Experience in LLM evaluation and benchmarking (LLM as a judge, RAGAS, PromptFlow, etc.).

AI/ML certification on a cloud platform (Azure AI Engineer, AWS ML Specialty, GCP Professional ML Engineer).

Experience in a consulting or client project delivery context.

Your future duties and responsibilities

Required Qualifications To Be Successful In This Role

Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

At CGI, we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. As an equal-opportunity employer, being able to perform your best during the recruitment process is important to us. If you require an accommodation, please inform your recruiter.

That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.

To learn more about accessibility at CGI, contact us via email. Please note that this email is strictly for accessibility requests and cannot be used for application status inquiries.

Come join our team - one of the largest IT and business consulting services firms in the world.

Apply on LinkedIn About employer

More about this job

Responsibilities

Design, build, and deploy AI agents and MCP servers to automate software development lifecycle tasks and connect LLMs with internal systems, tools, and enterprise data. Integrate generative AI with DevOps workflows, ensure production quality and observability, collaborate across teams, and document technical architectures and guidance.

Requirements

Requires at least five years of software development experience, including two years focused on applied AI/ML, strong Python skills, and hands-on experience with AI agents, MCP servers, LLM APIs, and RAG architectures. Candidates should understand software development practices and DevOps/MLOps, communicate technical concepts to non-technical stakeholders, and be bilingual in French and English.

Skills

Python
AI Agent Development
LangChain
LangGraph
AutoGen
CrewAI
Model Context Protocol
Large Language Models
Prompt Engineering
Retrieval-Augmented Generation
Vector Databases
Software Development
DevOps
MLOps
CI/CD
Docker

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Autonomous Agents
Model Context Protocol
Large Language Models
LangChain
LangGraph
AutoGen
CrewAI
Python
Prompt Engineering
Multi-Agent Orchestration
Retrieval-Augmented Generation
Vector Databases
OpenAI
Anthropic
Azure OpenAI
DevOps
MLOps
CI/CD
Docker
Kubernetes
Git
GitHub Copilot
Cursor
Codeium
LLM Evaluation
RAGAS
PromptFlow

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Work requirements

Jobs in Canada