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Added 7 days ago
AI Automation & Software Engineer
WBM Technologies
Winnipeg, MB · Regina, SK · Saskatoon, SK · Edmonton, AB · Calgary, AB
Full-time
The AI Automation & Software Engineer designs, builds, and supports AI, automation, and software solutions for both customer environments and WBM's internal operations. You'll work across…
Added 7 days ago
Solution Engineer - Loyalty Commerce (PBU)
Plusgrade
Montreal, QC
Full-time
…consultant to step into high-stakes pre-onboarding engagements, own integration design end to end, and turn ambitious loyalty goals into scalable…
Added 7 days ago
Design Engineer
NP Aerospace
London, ON
$80,000 to $100,000 CAD / year
Full-time
In this role, you’ll contribute to the development of cutting-edge protection systems used by Canada’s Military and Law Enforcement personnel. Your work will directly support those who…
Added 7 days ago
Senior Software Engineer, Backend, AI Labs
Epiq
Toronto, ON · Greater Toronto Area, Canada
Full-time
…startup within a global organization, focused on agentic AI systems, knowledge-driven reasoning, and enterprise-scale simulations. We…
Added 7 days ago
Senior Software Engineer - React (Platform UI)
Ping Identity
Vancouver, BC
Full-time
We are looking for a highly motivated Senior Software Engineer to join our Platform UI team to build web applications for the next generation Identity platform. This role requires a…
Added 7 days ago
Software Engineer II - Platform UI (React)
Ping Identity
Vancouver, BC
Full-time
We are looking for a highly motivated Software Engineer II to join our Platform UI team to build web applications for the next generation Identity platform. This role requires a developer…
Added 7 days ago
AI Architect, Manager
Avanade
Toronto, ON
Full-time
…understand how various parts of the business processes, operating systems, and application architectures work together to design a specific AI solution that fits a client’s environmental…
Added 7 days ago
Senior Data Platform Engineer
Norton Rose Fulbright
Toronto, ON
Full-time
The Senior Data Platform Engineer will act as a technical lead for our technologies in any project or initiative, and is responsible for designing, developing, implementing, and supporting…
Added 7 days ago
Senior Data Platform Engineer
Norton Rose Fulbright
Calgary, AB
Full-time
The Senior Data Platform Engineer will act as a technical lead for our technologies in any project or initiative, and is responsible for designing, developing, implementing, and supporting…
Added 7 days ago
University Co-Op Student - Telecom Operations Support - 8-12 Months - Winter 2027 - Toronto
Hydro One Networks Inc
ON · Rexdale, ON
…telecommunication engineering designs in various operations support systems (OSS) to support operating and planning functions across the organization. We are looking for an enthusiastic,…
Added 7 days ago
AI Mobile Engineer- IOS
Zafin
Toronto, ON
Full-time
…billing, loyalty, and relationship management; and Zafin IO, an integration platform that connects data, systems, and workflows across complex enterprise…
Added 7 days ago
Generative AI Cloud Operations Engineer - Evinova
AstraZeneca
Mississauga, ON · Canada - Mississauga
Full-time
As a Generative AI Cloud Operations Engineer for clinical trial design, planning, and operational optimization on our team, you will lead the development and management of AI operations…
Added 7 days ago
AI Mobile Engineer- IOS
Zafin
Toronto, ON
…billing, loyalty, and relationship management; and Zafin IO, an integration platform that connects data, systems, and workflows across complex enterprise…
Added 7 days ago
Full-Stack, Frontend Leaning, SWE
Affiniti
Canada
$150,000 to $240,000 USD / year
Full-time
…businesses that hold American communities together, and the software serving them has never reflected how much they…
Added 8 days ago
Senior Applications Engineer
Synopsys Inc
Ottawa, ON
Full-time
Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP,…
Added 8 days ago
Landscape Architect
AtkinsRéalis
Toronto, ON
Full-time
…creating urban and rural environments that foster the seamless integration of transportation systems with the built and natural environment. This approach aims to improve efficiency,…
Added 22 days ago
AI-Native Full Stack Product Engineer
Lighthouse Software Group
Canada
Full-time
We are looking for an AI-native full stack engineer to join one of the leading software companies within our portfolio.
Added 8 days ago
Artificial Intelligence Engineer
Zown
Toronto, ON
Full-time
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…
Added 9 days ago
Software Engineer
Randstad Digital
Vancouver, BC
Contract
Our Fortune 500 client is seeking a versatile Senior Backend & Data Engineer for a 12-month on-site contract to design, scale, and maintain cloud-native microservices and data pipelines. In…
Added 9 days ago
Principal Mechanical Engineer - HVAC, Building Services, Fire Protection
Worley
Toronto, ON
Full-time
We are currently recruiting for a Principal Mechanical Engineer – HVAC, Building Services and Fire Protection Our team includes world class experts and dynamic go-getters. This is a…
Added 9 days ago
Security Researcher Engineer
Tata Consultancy Services
Toronto, ON
$100,000 to $120,000 CAD / year
Full-time
The ideal candidate combines the mindset of a security researcher, software engineer, and emerging-technology evaluator and is comfortable turning new ideas into measurable, working…
Added 9 days ago
Marine Project Manager
Canadian Adventure Charters
Marystown, NL
Full-time
∙Proficiency with PMS systems, budgeting, and marine technical software.
Added 10 days ago
Senior Data Quality Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
Senior Data Quality Engineer: Senior Data Quality Engineer – Zonda – Toronto, ON
Added 12 days ago
Lead Software Engineer – Java/Spring, AWS & Solution Architecture
Element Fleet Management
Toronto, ON
Full-time
8+ years of hands-on experience delivering production-grade software solutions, with strong depth in backend engineering, APIs/services, integrations, data layers, and cloud-native…
Added 14 days ago
Full Stack Engineer (AI-Enabled)
BMO
Calgary, AB · GCS
Full-time
You will work across frontend, backend, and integration layers to build reliable systems, while delivering AI-enabled capabilities where they create genuine business value. Candidates are…

Zown

Artificial Intelligence Engineer

Toronto, ON, Canada

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

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Original job description

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.

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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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