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Added 11 mins ago
ML
AI Engineer
MACHINE LEARNING TECHNOLOGIES LLC
Toronto, ON
- Full-time
The candidate will lead and actively contribute to the development of scalable Gen AI products, architectures, and cloud-native solutions within an Agile environment.
Added 11 mins ago
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Data Engineer
Wiraa
Canada
- Full-time
Experience with cloud-based data platforms, especially Google BigQuery or Azure Synapse Analytics.
Added 11 mins ago
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Solutions Architect
NULogic
Canada
- Contract
…Lead with strong expertise in MFCS (Merchandising Foundation Cloud Service), IMCS (Invoice Matching Cloud Service), and RESA (Retail Sale…
Added 11 mins ago
HO
Senior Full-Stack Developer (Senior Digital Product Developer)
House of Commons of Canada Chambre des communes du Canada
Ottawa, ON
- Full-time
The House of Commons’ Digital Services and Real Property (DSRP) is currently looking to staff the Senior Full-Stack Developer (Senior Digital Product Developer) position.
Added 40 mins ago
HO
Intermediate Full-Stack Developer (Intermediate Digital Product Developer)
House of Commons of Canada Chambre des communes du Canada
Ottawa, ON
- Full-time
The House of Commons’ Digital Services and Real Property (DSRP) is currently looking to staff several Intermediate Full-Stack Developer (Intermediate Digital Product Developer) positions.
Added 40 mins ago
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Représentant(e) des ventes, nouvelles affaires - Marché intermédiaire/Mid-Market Account Executive - New Business
ADP
Montreal, QC
- Full-time
Added 40 mins ago
A
Représentant(e) Ventes internes/Inside Sales Representative
ADP
Montreal, QC
- Full-time
Added 40 mins ago
Senior Data Platform Engineer
The Canada Life Assurance Company
London, ON · Toronto, ON
The Senior Data Platform Engineer is responsible for providing data platform and tool solutions to support business needs at Canada Life. Leveraging your cloud and Microsoft Azure technical…
Added 56 mins ago
Software Development Engineer, Measurement, Ad Tech, and Data Science (MADS), Measurement, Ad Tech, and Data Science (MADS), MADS Data Signals
Amazon
Toronto, ON
Are you a data-driven problem solver passionate about building scalable systems that drive customer trust and business growth? Join our innovative MADS Ads Data systems in Toronto, where…
Added 1 hour ago
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Winter 2027: Software Developer Co-op, Front End (8 months)
Intuit
Toronto, ON
- Internship
Work across the stack: Use Java and cloud-based APIs to integrate front-end and mobile experiences with backend services.
Added 1 hour ago
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Amazon Marketplace Specialist
Pilothouse Digital
Remote, Canada
- Full-time
- Remote
Strong Excel or Google Sheets skills, with the ability to analyze performance data and turn it into actionable recommendations
Added 1 hour ago
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Tech Lead and JAVA Developer
Alithya
QC · QC, Canada
- Full-time
Expérience avec Spring Core, Security, Data JPA et JTA, ainsi qu’en conception de systèmes et avec les plateformes infonuagiques AWS;
Added 1 hour ago
CO
Student - Marketing & Communications Assistant
City of Fredericton
Fredericton, NB
- Part-time
Experience with Canva, Adobe Creative Cloud, or similar design tools is considered an asset.
Added 1 hour ago
Field Sales Representative, Enterprise Greenfield, Google Cloud
Google
Toronto, ON
Experience qualifying leads and presenting the value proposition of cloud, data, and AI technologies against customers’ business opportunities and issues. Experience showcasing technology…
Added 1 hour ago
AI Outcome Customer Developer, Forward Deployed Development
Google
Toronto, ON
As an AI Outcome Customer Developer in our GTM AI Tech organization, you work as an enterprise architect, technical debugger, development liaison and technical delivery manager. You will…
Added 1 hour ago
Product Enablement Developer, Billing, Google Cloud
Google
Waterloo, ON
5 years of experience in technical troubleshooting, customer advocacy, or data analysis.
Added 2 hours ago
YC
Senior Developer, D365
Yoush Consulting
Toronto, ON
- Full-time
As a Senior Developer, Dynamics 365 your responsibilities will include:
Added 2 hours ago
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Senior Presales Engineer
ChapsVision
Montreal, QC
- Full-time
Participer aux discussions portant sur les API, les environnements infonuagiques (cloud), les systèmes d’entreprise et les écosystèmes de données.
Added 2 hours ago
K
Manager, Cybersecurity
KPMG
Calgary, AB
- Full-time
…companies pivot toward a digital business model, exponentially more data is generated and shared among organizations, partners and customers. We play an integral role in helping our clients…
Added 2 hours ago
NB
CHIEF DEVELOPER FULLSTACK - PYTHON
National Bank of Canada
Montreal, QC
- Full-time
A career as a Full Stack Developer on the Information Technology Delivery – Capital Markets team at National Bank means acting as a specialist in software development and cloud solutions.…
Added 2 hours ago
NB
LEAD PYTHON DEVELOPER – IT TREASURY PLATFORMS
National Bank of Canada
Montreal, QC
- Full-time
Experience designing and operating cloud-based platforms, application programming interfaces, integration services, distributed systems, data pipelines, or large-scale processing solutions.
Added 2 hours ago
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Machine Learning Engineer, Frameworks & Performance (New Grad to Principal level)
Qualcomm
Markham, ON
- Full-time
We are inventing, developing, and commercializing power-efficient on-device AI, edge cloud AI, and 5G to make this a reality. New Position
Added 2 hours ago
Salesforce Technical Architect - Financial Services Cloud, Marketing Cloud & Data360 - Manager
EY
Toronto, ON · Montreal, QC
EY Studio+ is helping clients modernize how they sell, serve, engage, and operate through Salesforce Financial Services Cloud (FSC), Marketing Cloud, Data 360 (Formerly Data Cloud),…
Added 3 hours ago
SP
Bilingual Customer Success Manager (French/English-Speaking)
Salesforce Partner Canada
Montreal, QC
- Full-time
…Salesforce platform. Direct experience with Financial Services Cloud is…
Added 3 hours ago
O
Sr. Director, Product Management, AI Product Strategy
OpenText
Waterloo, ON
- Temporary
Partner with Development, Data Science, and Data Cloud teams to develop scalable, secure, and high-performing AI-driven products.

Swoon

Artificial Intelligence Engineer

Toronto, ON, Canada

Contract

Apply About employer

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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.

Apply About employer

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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