Laval Qc Prompt engineer Jobs – 45 Openings This Week

AI Engineer
LGS, une Société IBM / an IBM Company —Montréal, QC
- Full-time
- Azure
- DevOps
- Java
Quick apply
Senior AI Engineer (Agentic AI)
Keyrus Canada —Montréal, QC
- Hybrid work
- Bilingual
- Azure
- Computer Science
- Work from home
5d
Go-to-Market Ingénieure IA
Equisoft —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- English
- APIs
- Flexible schedule
1d
Architecte de solutions IA – Intermédiaire
CGI —Montréal, QC
- $80,000–$155,000 a year
- Full-time
- Bilingual
- Azure
- English
Quick apply
Senior AI Engineer
Robots and Pencils —Montréal, QC
- Remote
- Databases
- AWS
- APIs
Quick apply
Développeur expert IA
CGI —Montréal, QC
- $60,000–$120,000 a year
- Full-time
- Hybrid work
- Bilingual
- Azure
- DevOps
Quick apply
10d
Senior Data Engineer - Hybrid
Pelmorex —Montréal, QC
- Full-time
- Hybrid work
- Databases
- Machine learning
- APIs
Forward Deployed Engineer, Google Cloud, AI Expert
Valtech Group —Montréal, QC
- Full-time
- Remote
- Doctoral degree
- Computer Science
- Up to 50% travel
- Profit sharing
- Employee assistance program
5d
AI Solution Architect — Intermediate
CGI —Montréal, QC
- Full-time
- Bilingual
- Azure
- English
Quick apply
Data Developer
DRW Montreal —Montréal, QC
- Computer Science
- Engineering
- Master's degree
Tech Analyst, Data and AI
Air Canada —Dorval, QC
- Full-time
- Bilingual
- Azure
- Computer Science
6d
AI Expert developer
CGI —Montréal, QC
- Full-time
- Bilingual
- Azure
- DevOps
Quick apply
10d
Responsable des technologies financières
Equisoft —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- ERP systems
- English
- Dental care
- Employee assistance program
8d
Resiliency Architect
Intact —Montréal, QC
- $149,600–$182,800 a year
- Full-time
- Hybrid work
- Bilingual
- Azure
- No experience needed
- Employee stock purchase plan
Senior AI Solution Architect
CGI —Montréal, QC
- $90,000–$175,000 a year
- Full-time
- Bilingual
- Azure
- English
Quick apply
Finance Technology Lead
Equisoft —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- ERP systems
- English
- Dental care
- Employee assistance program
8d
Senior Software Engineer, AI Game Creation Platform
Ironbelly Studios —Montréal, QC
- Hybrid work
- AWS
- APIs
- AI
- Dental care
- Paid time off
Quick apply
Shipping Clerk
Recochem inc. —Montréal, QC
- Full-time
- Bilingual
- English
- Forklift
- Designated paid holidays
- Dental care
Quick apply
Ingénieur(e) Forward Deployed, Google Cloud, expert(e) en IA
Valtech Group —Montréal, QC
- Full-time
- Doctoral degree
- Computer Science
- English
- Profit sharing
- Employee assistance program
5d
Application Production Support Specialist
BNP Paribas —Montréal, QC
- Weekends as needed
- Hybrid work
- Bilingual
- Computer Science
- English

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AI Engineer

LGS, une Société IBM / an IBM Company -
Montréal, QC

Quick apply

Job details

Full-time

Qualifications

Azure
Law
Kubernetes
DevOps
System architecture
Google Cloud Platform
Java
Microservices
Pandas
AWS
Docker
Distributed systems
REST
APIs
AI
Python
Software architecture

Full job description

At LGS, we strive to provide a workplace that values your professional growth. Our company culture fosters diversity and inclusivity, and we welcome talents from both local and international backgrounds.

As a team member, you will play a crucial role in driving major projects that propel our clients’ businesses forward and improve people’s lives. You will be at the heart of collaborative large-scale digital transformation projects in both the public and private sectors.

The IBM Client Innovation Centre Quebec (CIC), at LGS, employs professionals who collaborate on projects within technology practices, offering local and remote services. Our employees, regardless of their level of experience, are paired with a coach to support their professional growth. As part of IBM’s global network, we have offices in Montreal and Quebec City.

The benefits of joining our team:

Learn every day: access IBM's intellectual capital and trainings on a diverse range of cutting-edge technologies.
For your well-being: a group insurance bundle including telemedicine, a retirement savings plan with employer’s contribution, access to IBM shares at discounted rates, and a wellness package!
To enjoy quality time: annual vacations, additional company days off and special life events leaves!
To have fun with your colleagues: an active community and a social committee with regular activities to keep us all connected!

Join our teamJoin our team as an AI Engineer.

Your Responsibilities:

Implement automated MLOps pipelines (CI/CD, data, training).
Implement ETL pipelines for data ingestion.
Containerize and deploy models into production.
Continuously monitor models (drift detection, alerting).
Manage model and data versioning to ensure reproducibility.
Apply governance principles (bias, privacy, transparency).
Collaborate with data scientists to transform prototypes into stable services.
Write optimized prompts and conduct comparative evaluations of models.

You Stand Out With:

Languages & Libraries: Proficiency in Python + AI libraries (Pandas, Huggingface, OpenAI, etc.) and experience with Java and JavaScript.
AI Agentic Frameworks: Experience with techniques such as multi-agent systems, ReAct, function Autogen, LangGraph, CrewAI, Chainlit, Streamlit, n8n, Google ADK.
Knowledge of LLM and LFM Models: Familiarity with proprietary models (OpenAI, Claude, Gemini, etc.) and open-source models on HuggingFace.
Data Science: Strong general understanding of data science techniques and their pipelines.
Software Architecture: Understanding of distributed systems architecture, microservices, APIs (e.g., REST).
Cloud Computing: Experience with AWS Bedrock, Azure AI Foundry, GCP Vertex AI.
DevOps / MLOps:

o Deployment via CI/CD, containers (Docker, Kubernetes), cloud, and automated pipelines.

o Automation of ML workflows (preprocessing, training, evaluation, deployment).

o Versioning of models/data/experiments (MLflow, DVC, etc.).

o Monitoring of models in production (drift, latency, performance, business metrics).

Governance & Compliance: Knowledge of ethics, bias, GDPR, explainability, privacy, AI risks.
Prompt Engineering & Model Benchmarking: Ability to formulate effective prompts, compare models, test, and select for specific tasks.
Deployment & Integration: Packaging models, production deployment (API, microservices), backend/legacy integration.
Communication: Collaborate with data, product, and infrastructure teams; clearly explain AI challenges.

#CICJOBS #IBMJOBS #LI-IO1

Be yourself at LGS

LGS is committed to considering all qualified applicants without regard to ethnicity, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodiversity, age, veteran status or other characteristics.

If you are not a Canadian permanent resident or citizen, please consult with your talent acquisition consultant as this role may require the use of technologies that are regulated by export sanctions.

Quick apply

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prompt engineer jobs in laval qc

AI Engineer

Senior AI Engineer (Agentic AI)

Go-to-Market Ingénieure IA

Architecte de solutions IA – Intermédiaire

Senior AI Engineer

Développeur expert IA

Senior Data Engineer - Hybrid

Forward Deployed Engineer, Google Cloud, AI Expert

AI Solution Architect — Intermediate

Data Developer

Tech Analyst, Data and AI

AI Expert developer

Responsable des technologies financières

Resiliency Architect

Senior AI Solution Architect

Finance Technology Lead

Senior Software Engineer, AI Game Creation Platform

Shipping Clerk

Ingénieur(e) Forward Deployed, Google Cloud, expert(e) en IA

Application Production Support Specialist

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