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Added 5 mins ago
N(
Marketing Strategist (Temporary)
NAIT (Northern Alberta Institute of Technology)
AB · Edmonton, AB
- Full-time
Demonstrate expertise in data and analytics using tools like Google Data Studio, Google Analytics, and native social media platforms to access, prioritize, analyze, and visualize data for…
Added 5 mins ago
KD
Premier·ère analyste financier·ère | Senior Financial Analyst
Keurig Dr Pepper Canada
Montreal, QC
- Full-time
Added 5 mins ago
C
Senior Presales Engineer
ChapsVision
Montreal, QC
- Full-time
Added 5 mins ago
K
Consultant, Cybersecurity
KPMG
Calgary, AB
- Full-time
Added 35 mins ago
Q
Machine Learning Engineer, Frameworks & Performance (New Grad to Principal level)
Qualcomm
Markham, ON
- Full-time
Added 35 mins ago
NE
Global Director of Impact & Knowledge Management
New Energy Nexus
Remote, Canada
- Full-time
- Remote
Added 35 mins ago
Salesforce Technical Architect - Financial Services Cloud, Marketing Cloud & Data360 - Manager
EY
Toronto, ON · Montreal, QC
Added 1 hour ago
NR
Program Specialist
Niagara Region
ON · Niagara, ON
- Full-time
Added 1 hour ago
SP
Solutions Architect, Salesforce Migrations (Data360, Revenue, Tableau, or Marketing Clouds)
Salesforce Partner Canada
Toronto, ON
- Full-time
Added 1 hour ago
PM
Project Manager
POD Marketing
Calgary, AB
- $57,000 to $65,000 CAD / year
- Full-time
Proficiency in Google AdWords, Google Analytics, WordPress, and various Social Media platforms is an asset
Added 1 hour ago
B
Tech Lead - Infrastructure Services N 4C
BrightClaim
AB
- Full-time
Added 1 hour ago
O
Sr. Director, Product Management, AI Product Strategy
OpenText
Waterloo, ON
- Temporary
Added 2 hours ago
T
Senior QA Engineer- ETL & API
Teqfocus
Toronto, ON
- Contract
Added 2 hours ago
JT
Business Process & System Specialist
J-Squared Technologies Inc.®
ON · Ontario, Canada
- Full-time
…Industrial Engineering, Business Technology, Information Systems, Analytics, Supply Chain, or a related field, or equivalent practical…
Added 2 hours ago
F
Senior Machine Learning Engineer
Fusemachines
Remote, Canada
- Contract
- Remote
Added 2 hours ago
BA
Vice President, Finance
Brookfield Asset Management
Toronto, ON · Brookfield Place
- Full-time
Added 2 hours ago
BA
Director, Finance
Brookfield Asset Management
Toronto, ON · Brookfield Place
- Full-time
Added 2 hours ago
Technical Services Manager
Rentokil Initial
Vancouver, BC
…c) Customer Service Quality Program d) Command Center data…
Added 2 hours ago
Technical Services Manager
Rentokil Initial
Surrey, BC
…c) Customer Service Quality Program d) Command Center data…
Added 3 hours ago
RI
Technical Services Manager
Rentokil Initial
Surrey, BC
- Full-time
…c) Customer Service Quality Program d) Command Center data…
Added 3 hours ago
RI
Technical Services Manager
Rentokil Initial
Vancouver, BC
- Full-time
…c) Customer Service Quality Program d) Command Center data…
Added 3 hours ago
MM
Customer Success Manager - Measure Marketing
Measure Marketing Results Inc.
Remote, Canada
- Full-time
- Remote
Added 4 hours ago
KP
Production Planner--Planificateur de production
Kelly Professional & Industrial
Montreal, QC
- Full-time
…involves influencing policies, improving processes, and leveraging analytics to enhance supply chain…
Added 4 hours ago
CC
Teamcenter PLM Consultant
Cuatro Consulting Inc.
Mississauga, ON
- Full-time
…company delivers end-to-end solutions across data migration, analytics, cybersecurity, cloud modernization, test automation, DevOps, CRM, and AI-enabled services, with a strong focus on…
Added 4 hours ago
RD
Technical Project Manager - AI
Randstad Digital
Montreal, QC · Greater Montreal Metropolitan Area
- $70 to $90 CAD / hour
- Contract
…delivery workflows. Operating at the intersection of modern analytics and core business operations, you will guide multidisciplinary teams through complex technical landscapes, bridging…

Swoon

Artificial Intelligence Engineer

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 28, 2026
Posting language: English
Posted: Oct 29, 2026

Original job description

AI Engineer

6-Month Contract with Potential Extension

Hybrid – 3 Days Onsite in Toronto

Compensation: Hourly Rates

T4: 70-75

IC: 83 - 90

You don't need extensive experience building AI agents to be successful in this role. Candidates with backgrounds in Data Science, Machine Learning, Quantitative Analysis, Mathematics, or Software Engineering who have a solid understanding of AI are encouraged to apply.

Key Responsibilities

Partner with business and technical stakeholders to understand challenges, lead discovery discussions, and clarify requirements.
Translate ambiguous business problems into structured problem statements, mathematical models, analytical frameworks, and technical solutions.
Apply critical thinking, statistical reasoning, and quantitative techniques to investigate problems and evaluate potential approaches.
Design and develop Python-based applications, prototypes, analytical models, and AI-enabled solutions.
Identify opportunities to leverage generative AI, machine learning, large language models (LLMs), and agentic AI to address business challenges.
Develop AI workflows incorporating APIs, tool calling, prompt engineering, context engineering, and workflow orchestration.
Explore and implement Retrieval-Augmented Generation (RAG) solutions using embeddings, vector search, and contextual grounding.
Analyze structured and unstructured data, test hypotheses, and evaluate model performance.
Develop testing frameworks, evaluation datasets, and performance metrics to assess the accuracy and reliability of AI solutions.
Conduct experimentation and error analysis to identify weaknesses and continuously improve AI capabilities.
Communicate technical findings, recommendations, and potential limitations to technical and non-technical stakeholders.

Required Qualifications

Strong analytical thinking, critical reasoning, and problem-solving abilities.
Solid mathematical and quantitative foundations, including statistical reasoning and logical analysis.
Professional experience in AI Engineering, Data Science, Machine Learning, Software Engineering, Quantitative Analysis, or a related technical discipline.
Strong hands-on Python development experience.
Understanding of artificial intelligence, machine learning, generative AI, and large language models (LLMs).
Experience with data analysis, experimentation, hypothesis testing, and model evaluation.
Ability to translate business requirements and ambiguous challenges into structured technical solutions.
Strong communication and collaboration skills, with the ability to explain complex concepts to different audiences.
Demonstrated ability to learn new technologies and adapt to unfamiliar technical challenges.

Preferred Qualifications

Experience developing generative AI applications, AI agents, or LLM-powered solutions.
Familiarity with Retrieval-Augmented Generation (RAG), embeddings, vector databases, and hybrid search.
Experience with prompt engineering, tool calling, structured outputs, and AI workflow orchestration.
Knowledge of Python libraries such as pandas, NumPy, scikit-learn, FastAPI, Pydantic, and pytest.
Exposure to frameworks such as LangChain, LangGraph, or LlamaIndex.
Experience with mathematical modelling, optimization, forecasting, or statistical analysis.
Familiarity with automated testing, Git, CI/CD, Docker, and cloud-based application deployment.
Previous experience in banking, financial services, or other regulated industries.
Degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related quantitative discipline, or equivalent practical experience.

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More about this job

Responsibilities

Partner with business and technical stakeholders to clarify requirements and turn ambiguous challenges into structured analytical models and technical solutions. Develop Python-based AI applications and workflows, evaluate their performance, and communicate findings and limitations to stakeholders.

Requirements

Candidates need strong Python development skills, quantitative and analytical foundations, and professional experience in a relevant technical discipline. They should understand AI, machine learning, generative AI, and LLMs, and be able to analyze data, evaluate models, translate business needs into technical solutions, and communicate effectively.

Skills

Python
Artificial Intelligence
Machine Learning
Generative AI
Large Language Models
Data Analysis
Statistical Reasoning
Mathematical Modeling
Prompt Engineering
Retrieval-Augmented Generation
Embeddings
Vector Search
AI Workflow Orchestration
Model Evaluation
Hypothesis Testing
Communication

Visa sponsorship

Not detected in the job text

Keywords

Python
Artificial Intelligence
Machine Learning
Generative AI
Large Language Models
AI Agents
Retrieval-Augmented Generation
Embeddings
Vector Databases
Hybrid Search
Prompt Engineering
Tool Calling
Workflow Orchestration
Pandas
NumPy
Scikit-Learn
FastAPI
Pydantic
Pytest
LangChain
LangGraph
LlamaIndex
Git
CI/CD
Docker
Cloud Deployment
Statistical Analysis
Hypothesis Testing
Model Evaluation
Mathematical Modeling

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