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Added 20 days ago
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AI Solutions Engineer
Urban Ridge Supplies
Thornhill, ON
- Full-time
Basic-to-intermediate coding ability (Python, JavaScript, SQL, or similar).
Added 20 days ago
UR
Software Engineer III (AI Integration)
Urban Ridge Supplies
Toronto, ON
- Full-time
Work with structured and unstructured datasets using Python, SQL, Spark, Pandas, etc.
Added 20 days ago
UR
Lead, AI/Machine Learning Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
Strong SQL skills and experience working with modern data platforms, including Databricks and Snowflake, and vector databases, including Azure AI Search, Pinecone, pgvector, or similar.
Added 20 days ago
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AI Engineer
Urban Ridge Supplies
Guelph, ON
- Full-time
Proficiency in at least one programming language such as Python, PySpark, R, or SQL.
Added 20 days ago
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Senior AI Engineer
Urban Ridge Supplies
Brampton, ON
- Full-time
Proficiency with SQL and at least one analytical data platform (BigQuery, Snowflake, or similar).
Added 20 days ago
UR
Middle/Senior Forward Deployed Engineer (Python, AI)
Urban Ridge Supplies
Toronto, ON
- Full-time
Advanced proficiency in Python, along with experience using TypeScript or JavaScript and SQL.
Added 20 days ago
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Forward Deployed Engineer, Supply Chain
Urban Ridge Supplies
Kitchener, ON
- Full-time
A builder who ships. Strong engineering fundamentals, good judgment, and a drive to get things into people's hands. You're fluent in TypeScript, Python, or other high-level language,…
Added 20 days ago
UR
Software Engineer II (AI Integration)
Urban Ridge Supplies
Toronto, ON
- Full-time
Work with structured and unstructured datasets using Python, SQL, Spark, Pandas, etc.
Added 20 days ago
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Senior AI Engineer, IT Solutions 1
Urban Ridge Supplies
Toronto, ON
- Full-time
Advanced proficiency in Python and relevant libraries (NumPy, Pandas, PyTorch, or TensorFlow).
Added 20 days ago
UR
Artificial Intelligence Developer
Urban Ridge Supplies
Toronto, ON
- Full-time
Strong hands-on experience with Python, JavaScript/TypeScript, APIs, SQL, and Git.
Added 20 days ago
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AI Platform Engineering Lead
Urban Ridge Supplies
Toronto, ON
- Full-time
Founded in 1957, AGF Management Limited (AGF) is an independent and globally diverse asset management firm. Our companies deliver excellence in investing in the public and private markets…
Added 20 days ago
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Technical Architect - AI
Urban Ridge Supplies
Toronto, ON
- Full-time
Technical Acumen: Familiarity with programming, scripting, or statistical tools (e.g., Python, SQL, R) is beneficial but not required; a strong analytical mindset is a must.
Added 20 days ago
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Specialist, AI Engineering
Urban Ridge Supplies
Toronto, ON
- Full-time
Strong Programming Skills: Proficiency in Python and experience with relevant AI/ML frameworks. Proficiency in writing clean, maintainable code (i.e. Python, Java, SQL, Spark).
Added 20 days ago
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Lead Full-Stack GenAI Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
Building substantial production-grade code, including Python services, APIs, RAG pipelines, agent workflows, enterprise integrations, and reusable libraries
Added 20 days ago
UR
Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
A strong generalist engineer. You can ship full-stack TypeScript or Python on the backend, React on the frontend, SQL fluently, comfortable in someone else’s codebase within a day. You do…
Added 20 days ago
UR
AI Engineer
Urban Ridge Supplies
Kitchener, ON
- Full-time
Proficiency in at least one programming language such as Python, PySpark, R, or SQL.
Added 20 days ago
UR
Principal AI Engineer
Urban Ridge Supplies
ON · York
- Full-time
Hands-on experience within a cloud-native architecture (preferably GCP) using Docker, Kubernetes, and infrastructure-as-code (Terraform). Strong database skills across Google Cloud SQL,…
Added 20 days ago
UR
FDE Senior Engineer, AI & Capital Markets
Urban Ridge Supplies
Mississauga, ON
- Full-time
Python and SQL are essential. Experience with q and kdb+ is highly desirable but not required. The appetite to become genuinely good at it matters more.
Added 20 days ago
UR
AI Solutions Engineer, Agentic Automation
Urban Ridge Supplies
Toronto, ON
- Full-time
…including Copilot Studio, M365 Copilot solutions, Power Platform, and Dataverse / SQL Server, with a low-code-first approach complemented by pro-code capability through APIs, system…
Added 20 days ago
UR
Principal Quality Architect
Urban Ridge Supplies
Toronto, ON
- Full-time
Polyglot Development: Write and test production-grade code across multiple languages and paradigms (e.g., TypeScript, Python, Go, .NET, Java) based on specific problem domains. Ramp into…
Added 20 days ago
UR
Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
A strong generalist engineer. You can ship full-stack TypeScript or Python on the backend, React on the frontend, SQL fluently, comfortable in someone else’s codebase within a day. You do…
Added 20 days ago
UR
Software Engineer, Applied AI
Urban Ridge Supplies
Toronto, ON
- Full-time
Senior engineering ability: Write clean, documented code (Python, Go, JavaScript, etc.) and use agentic coding tools (Claude Code, Codex etc) as a core part of your development workflow -…
Added 20 days ago
AA
Développeur Responsable technique Skywise / Skywise tech lead developer
Airbus Aircraft
Montreal, QC
- Full-time
Vous avez une maîtrise démontrée des langages Python, JavaScript et SQL (une expérience avec PySpark est un plus);
Added 20 days ago
QI
Forward Deployed AI Engineer
Qureos Inc
Toronto, ON
- Full-time
Strong full-stack development skills, including TypeScript or Python, React, and SQL.
Added 20 days ago
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Product Manager
Enverus
Calgary, AB
- Full-time
At Enverus, we're committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world.

Urban Ridge Supplies

Software Engineer II (AI Integration)

Toronto, ON, Canada

$96,000 - $115,200 CAD · Full-time

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Job details

Pay: $96,000 - $115,200 CAD
Job type: Full-time
Posting language: English
Posted: Sep 24, 2026

Original job description

Work Location:

Toronto, Ontario, Canada

Hours

37.5

Line Of Business

Technology Solutions

Pay Details

$96,000 - $115,200 CAD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description

Engineer II - AI

The AI Engineer is responsible for designing, building, and deploying AI/ML solutions that enhance business processes, improve decision-making, and enable automation. This role combines software engineering, data science, and machine learning expertise to develop scalable AI systems in production environments.

Key Responsibilities

3-5 years total experince
Develop end-to-end pipelines including data preprocessing, feature engineering, validation, and deployment.
Fine-tune LLM-based applications using frameworks like LangChain, LangSmith, or OpenAI APIs.
Deploy models into production using CI/CD pipline.
Build scalable microservices or APIs to serve ML models in real time.
Implement monitoring for model drift, performance, and reliability.
Collaborate with data engineering teams to define data requirements.
Work with structured and unstructured datasets using Python, SQL, Spark, Pandas, etc.
Ensure data quality, governance, and security
Evaluate new AI frameworks, tools, and techniques.
Prototype solutions and run experiments to explore feasibility.
Stay up to date with advancements in LLMs, vector embeddings, multimodal AI, and model compression/optimization.
Work with product managers and business teams to translate business problems into AI solutions.
Partner with cloud engineers and DevOps teams for scalable deployment.
Communicate complex technical concepts to non-technical stakeholders.

Required Skills & Qualifications

Strong programming skills in Python (NumPy, Pandas, Scikit-learn, PyTorch or TensorFlow).
Experience with LLMs, NLP, or deep learning.
Knowledge of MLOps tools: MLflow, Kubeflow, Airflow, Docker, Kubernetes.
Experience with cloud platforms (AWS/GCP/Azure) and model deployment.
Understanding of data structures, algorithms, and software engineering best practices.
Problem-solving and analytical thinking.
Ability to design scalable, maintainable systems.
Strong communication and documentation skills.
Collaboration in agile or cross-functional team environments.

Preferred Qualifications (Nice To Have)

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
Experience building large-scale AI systems or enterprise-grade ML applications.
Experience working in regulated industries.
Knowledge of vector databases , RAG systems, or generative AI applications.

Who We Are

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package

Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information

We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding

We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process

We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation

Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec Only)

Sans Objet

Job Id: m78YPZrLSjWQykI3uK0j5Nar5EVuh77ZzgMn6xJgR9uOs0dG01oOZWgsOJ8RxT3SmXDOisLwQ1/c7zFuB1SIhy6yRioE9jWaoA==

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More about this job

Responsibilities

The AI Engineer is responsible for designing, building, and deploying scalable AI/ML solutions to enhance business processes and automation. This role involves collaborating with cross-functional teams to develop end-to-end pipelines and serve ML models in production environments.

Requirements

Candidates should have 3-5 years of experience with strong programming skills in Python and expertise in machine learning frameworks. Proficiency in MLOps tools, cloud platforms, and the ability to translate business problems into technical AI solutions are required.

Skills

Python
Machine Learning
Artificial Intelligence
LLMs
SQL
Spark
Pandas
PyTorch
TensorFlow
MLOps
Docker
Kubernetes
CI/CD
Data Engineering
Cloud Platforms
Software Engineering

Benefits

Health and well-being benefits
Savings and retirement programs
Paid time off
Banking benefits and discounts
Career development
Reward and recognition programs

Visa sponsorship

Not detected in the job text

Keywords

Software Engineer
AI Integration
Machine Learning
Python
LLM
LangChain
LangSmith
OpenAI
CI/CD
Microservices
MLOps
MLflow
Kubeflow
Airflow
Docker
Kubernetes
AWS
GCP
Azure
Data Engineering
SQL
Spark
Pandas
Scikit-learn
PyTorch
TensorFlow
Vector Databases
RAG
Generative AI
Agile

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