Jobs in Canada

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Added 1 month ago
C
Senior Security Operations Specialist
CDW
Mississauga, ON
- Full-time
The position is part of a 7-day per week, 24-hour per day managed services operations
Added 1 month ago
TC
Security Researcher Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Must Have Technical/Functional Skills
Added 1 month ago
I
Software Developer 1, Canada Tax Content
Intuit
Toronto, ON
- Full-time
…products. This is an entry-level, growth-oriented role for an engineer developing proficiency across the full software development lifecycle - you'll deliver well-defined tasks under close…
Added 2 months ago
EM
Production Engineer
Evertz Microsystems Limited
Burlington, ON
- Full-time
Validate hardware, firmware and software releases from the development teams
Added 1 month ago
Associate or Vice President Full Stack Engineer
BMO
Toronto, ON · FCP
We are seeking an exceptional Full Stack Engineer to join our Data Cognition Team at BMO Capital Markets. In this pivotal role, you will architect, develop, and implement innovative…
Added 1 month ago
Staff Product Engineer - Brand
Faire
Toronto, ON · Waterloo, ON
Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting
Added 1 month ago
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Sr. Site Process Engineer
Syensqo
Welland, ON
- Full-time
Syensqo is seeking a Sr. Site Process Engineer to provide process engineering leadership and technical expertise to the chemical manufacturing operation at the Cytec Canada Inc (a member of…
Added 1 month ago
MP
Concepteur mécanique / Mechanical Engineer
Malvern Panalytical
Quebec, QC
- Full-time
Added 2 months ago
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Software Engineer - Identity & Authorization
Baseten
Montreal, QC
- $240,000 to $285,000 CAD / year
- Full-time
…request volume, consistent contracts and behaviors across the product suite, and strong security guarantees for mission-critical, highly regulated…
Added 1 month ago
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Senior Software Engineer (Conductor)
PocketHealth
Toronto, ON
- Full-time
As a Senior Software Engineer, you are a full-stack software engineer who works directly alongside healthcare providers to get Conductor live and to make it matter. You take a signed…
Added 1 month ago
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Applied AI Engineer
Syntrace
Toronto, ON
- Full-time
We are now hiring an Applied AI Engineer, based in Toronto.
Added 1 month ago
BH
Head of Forward Deployed Engineering (FDE)
Beacon Holdings
Toronto, ON
- Full-time
Built and led a forward-deployed, solutions, or embedded engineering function at a company where the product was an AI or data platform; you have run the transition from "every engineer…
Added 1 month ago
CS
Parts Technician
Certified Sales and Rentals
Saskatoon, SK
- Full-time
…also performs other functions including checking inventory for product availability, price quotations, and providing delivery status updates internally. Certified Sales & Rentals is a proud…
Added 2 months ago
Senior Marine Structural Designer (Permanent)
Babcock
Victoria, BC · Halifax, NS · Ottawa, ON
Babcock is an international defence company providing support and product solutions to enhance our customers’ defence capabilities and critical assets.
Added 1 month ago
C
Senior Data Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
This is a hands-on engineering role focused on data pipeline development, performance optimization, production reliability, and continuous improvement. The Senior Data Engineer will…
Added 1 month ago
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Cloud & AI Apps Solution Engineer
Microsoft
Calgary, AB
- Full-time
Microsoft is transforming the experience for Agentic AI applications across the development & deployment lifecycle. We’re leading the way in Agentic AI development where AI agents…
Added 1 month ago
C
Senior Data Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
This is a hands-on engineering role focused on data pipeline development, performance optimization, production reliability, and continuous improvement. The Senior Data Engineer will…
Added 1 month ago
Q
FY27 Intern - MSIP Digital Design Engineering Internship - Canada (16 months)
Qualcomm
Toronto, ON
- Full-time
…provide real-world experience, technical skills, and professional development opportunities, empowering you to make a meaningful impact and achieve your career goals. Join us for our 2027…
Added 1 month ago
Q
FY27 Intern - MSIP Digital Design Verification Engineering Internship - Canada (16 months)
Qualcomm
Toronto, ON
- Full-time
…provide real-world experience, technical skills, and professional development opportunities, empowering you to make a meaningful impact and achieve your career goals. Join us for our 2027…
Added 1 month ago
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Associate Cloud Engineer
Aptiv
Ottawa, ON
- Full-time
As an Associate Cloud Engineer, you will join Wind River's Cloud Platform Engineering team and contribute to the development of cloud-native infrastructure solutions that power…
Added 1 month ago
A
Associate Cloud Engineer
Aptiv
Ottawa, ON · ON
- Full-time
As an Associate Cloud Engineer, you will join Wind River's Cloud Platform Engineering team and contribute to the development of cloud-native infrastructure solutions that power…
Added 1 month ago
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Software Development Manager
EDealer
Canada
- Full-time
We are looking for a hands-on Software Development Manager to lead one of our engineering teams within EDealer, reporting to the Sr. Director of Product and Engineering. This is a role for…
Added 1 month ago
BS
Head of Forward Deployed Engineering (FDE)
Beacon Software
Toronto, ON
- Full-time
Built and led a forward-deployed, solutions, or embedded engineering function at a company where the product was an AI or data platform; you have run the transition from "every engineer…
Added 1 month ago
K
Senior Software Engineer, DevOps & Security
Klue
Remote, Canada
- $140,000 to $230,000 CAD / year
- Full-time
- Remote
…shared infrastructure, CI/CD, and guardrails are solid, every engineer at Klue gets faster, safer, and more cost effective to support, without having to think about…
Added 1 month ago
A
Software Development Engineer, Amazon Customer Service
Amazon
Toronto, ON
- Full-time
Collaborate with product, UX, and partner engineering teams to translate ambiguous customer problems into technical solutions

Closed listing

Zown

Artificial Intelligence Engineer

Toronto, ON, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Job type: Full-time
Closing date: Mar 18, 2027
Posting language: English
Posted: Sep 19, 2026

Similar jobs hiring now

Added 21 mins ago
Lead Principal Platform Software Engineer
Oracle · Toronto, ON, Canada
$123,900 to $203,600 CAD / year
Added 2 hours ago
Forward Deployed AI Engineer, Canada - BCG X
Boston Consulting Group · Toronto, ON, Canada
Added 3 hours ago
Lead Principal Core Infrastructure Engineer
Oracle · Toronto, ON, Canada
$123,900 to $203,600 CAD / year
Added 4 hours ago
Business Sustainment Production Engineer
HSBC · Toronto, ON, Canada

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Original job description

Archived listing. The details below describe a past opening.

Company Description

Zown is a buyer-first real estate platform operating across Canada and the U.S., focused on helping people achieve homeownership faster. Through its innovative model, Zown provides buyers with up to $25,000 toward their home purchase, funded through the commission the company earns, with no repayment required and full ownership from day one. The platform brings together salaried realtors, trusted lenders, 24-hour pre-approvals, and instant home showings to create a streamlined, low-stress homebuying experience. By reducing uncertainty and empowering buyers with transparent support and financial advantages, Zown is reshaping traditional real estate. Team members join a mission-driven environment aimed at putting more control and value in the hands of homebuyers.

About the Role

We are looking for an AI Software Engineer to design, build, and scale intelligent software systems that power our products. This role sits at the intersection of artificial intelligence and backend engineering, requiring strong software engineering fundamentals alongside hands-on experience building production AI applications.

You will work across the full lifecycle of AI-powered features - from designing backend services and data pipelines to integrating and evaluating LLMs, building AI agents and workflows, and operating these systems reliably in production.

The ideal candidate is not simply someone who can integrate an LLM API. You should understand how production backend systems are designed, how distributed services communicate, how data flows through systems, and how to make AI applications reliable, observable, secure, and scalable as well as integrated with existing software systems.

What You’ll Do

AI & Machine Learning Systems

Design and build production-grade applications powered by LLMs and other AI technologies.
Integrate and work with modern AI models, APIs, and inference platforms.
Build AI agents, workflows, tool-calling systems, and multi-step reasoning pipelines.
Develop systems for retrieval-augmented generation (RAG), embeddings, semantic search, and knowledge retrieval.
Design effective prompting, structured outputs, context management, and model orchestration strategies.
Evaluate AI system quality, including accuracy, reliability, latency, and cost.
Build automated evaluation and testing frameworks for AI-powered features.
Stay current with developments in LLMs, agent architectures, model capabilities, and AI infrastructure.

Backend Engineering

Design and develop scalable backend services and APIs that support AI-powered products.
Apply strong software engineering principles to produce maintainable, testable, and well-structured systems.
Design data models, service boundaries, queues, background jobs, and event-driven workflows.
Build systems that handle asynchronous and long-running AI workloads reliably.
Work with relational and non-relational databases, caching systems, object storage, and search infrastructure.
Design for concurrency, fault tolerance, retries, idempotency, and graceful failure.
Optimize application performance, infrastructure utilization, and AI inference costs.
Build secure systems with appropriate authentication, authorization, data protection, and access controls.

Production & Infrastructure

Deploy and operate AI and backend services in cloud environments.
Implement monitoring, logging, tracing, metrics, and alerting for AI-powered systems.
Establish appropriate observability around model performance, latency, token usage, and costs.
Participate in architecture decisions and help establish engineering standards.
Troubleshoot complex production issues across application, infrastructure, data, and AI layers.
Collaborate with frontend, mobile, product, and infrastructure engineers to deliver end-to-end features.

What We’re Looking For

Required

Strong professional experience in backend software engineering.
Strong proficiency in at least one backend programming language such as TypeScript/JavaScript, Python, Go, Java, or similar.
Strong understanding of:

API design and distributed systems

Databases and data modeling

Asynchronous processing and background jobs

Caching and messaging/queue systems

Authentication and authorization

Testing and software quality

Observability and production debugging

Hands-on experience building applications using LLMs or other generative AI technologies.
Experience working with LLM APIs and understanding concepts such as:

Context windows

Tokenization and token usage

Structured outputs

Tool/function calling

Embeddings

Vector search

Prompt design and evaluation

Experience taking software from development into production.
Strong understanding of software architecture and engineering best practices.
Ability to reason about system reliability, scalability, performance, and cost.
Strong problem-solving and debugging skills.

Nice to Have

Experience building AI agents or agentic workflows.
Experience with model evaluation, benchmarking, and AI observability.
Experience with vector databases and semantic search.
Experience with MCP or similar tool/context protocols.
Experience with AI frameworks such as LangChain, LlamaIndex, Vercel AI SDK, or equivalent.
Experience with model providers such as OpenAI, Anthropic, Google, or open-source models.
Experience deploying or operating inference infrastructure.
Experience with Kubernetes, Docker, serverless infrastructure, or containerized workloads.
Experience with AWS, GCP, or Azure.
Experience with event-driven architectures and distributed systems.
Experience building developer-facing AI platforms or internal AI infrastructure.

Engineering Principles

We value engineers who:

Build for production, not demos.
Understand the fundamentals before reaching for abstractions.
Prefer simple, maintainable architectures over unnecessary complexity.
Treat AI as a software engineering problem, not just a prompting problem.
Think about reliability, security, observability, latency, and cost from the beginning.
Can investigate problems independently and understand systems end-to-end.
Write clear, well-tested, maintainable code.
Are comfortable working in ambiguous environments and turning ideas into working products.
Continuously evaluate whether an AI solution is actually the best solution for the problem.

What Success Looks Like

In this role, you will:

Build and ship reliable AI-powered features to production.
Improve the quality, performance, and reliability of our AI systems.
Establish patterns and infrastructure that allow the broader engineering team to build AI features efficiently.
Help evolve our backend architecture to support increasingly sophisticated AI workloads.
Reduce unnecessary AI costs and latency while improving user outcomes.
Contribute to technical architecture and engineering standards across the organization.
Become a key technical contributor in defining how AI is integrated into our products.

Education & Experience

A degree in Computer Science, Software Engineering, or a related field is beneficial but not required. We value demonstrated engineering ability and production experience.

We are particularly interested in candidates who can demonstrate what they have built, shipped, and operated, whether through professional experience, open-source contributions, or substantial personal projects.

About employer

More about this job

Responsibilities

Design and scale production-grade AI software systems, focusing on LLM integration, AI agents, and RAG pipelines. Develop scalable backend services and APIs while ensuring system reliability, observability, and cost-efficiency.

Requirements

Requires strong professional experience in backend software engineering and hands-on experience building applications with generative AI technologies. Proficiency in languages like Python or TypeScript and a deep understanding of distributed systems and API design are essential.

Skills

LLM Integration
Backend Engineering
RAG
AI Agents
API Design
Distributed Systems
Python
TypeScript
Vector Search
Prompt Engineering
Data Modeling
Cloud Infrastructure
System Architecture
Observability
Asynchronous Processing
Semantic Search

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
LLM
Generative AI
RAG
Vector Databases
LangChain
LlamaIndex
Vercel AI SDK
OpenAI
Anthropic
Google AI
Kubernetes
Docker
AWS
GCP
Azure
TypeScript
JavaScript
Python
Go
Java
Distributed Systems
API Design
Semantic Search
Embeddings
Event-Driven Architecture
Microservices
Real Estate Tech
Backend Engineering
Software Architecture

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Jobs in Canada