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Added 5 days ago
Sector Design Deputy Manager – ALTO project / Cadence
SYSTRA
Montreal, QC
Full-time
…design elements, including utilities railway track, traction power/OCS, signaling/ETCS, telecoms, and other…
Added 5 days ago
AI & Innovation Specialist (Internship or VIE) – ALTO project / Cadence
SYSTRA
Montreal, QC
Internship
Knowledge of Microsoft 365 tools, Power Platform, and generative AI solutions.
Added 5 days ago
Technical Coordinator (Civil Engineering profiles) – ALTO project/Cadence
SYSTRA
Montreal, QC
Full-time
Utility and infrastructure interactions, such as power supply systems, signaling, drainage, and road/railway geometry interfaces to ensure seamless integration and operational efficiency.
Added 5 days ago
Station Design Manager
SYSTRA
Montreal, QC
Full-time
…structures; Utilities relocation and integration; Traction power and substations; Operations and maintenance facilities; Third-party developments and municipal…
Added 6 days ago
Sector Design Deputy Manager – ALTO project / Cadence
SYSTRA Canada
Montreal, QC
Full-time
…design elements, including utilities railway track, traction power/OCS, signaling/ETCS, telecoms, and other…
Added 6 days ago
Founding DevOps/SRE Engineer
Requesty
London, ON
Full-time
We are building the LLM platform that will power tomorrow's AI-first companies.
Added 6 days ago
Senior Applications Engineer
Synopsys Inc
Ottawa, ON
Full-time
Engage directly with semiconductor design teams, IP providers, and foundries to diagnose and resolve STA, power integrity, signal integrity, and reliability challenges across chip, package,…
Added 7 days ago
Artificial Intelligence Engineer
Zown
Toronto, ON
Full-time
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…
Added 7 days ago
Non-Clinical Toxicology Manager
Alexion Pharmaceuticals, Inc.
Mississauga, ON
Full-time
When we put unexpected teams in the same room, we unleash bold thinking with the power to encourage life-changing medicines. In-person working gives us the platform to connect, work at pace…
Added 7 days ago
People & Culture Business Partner
XR Extreme Reach
Toronto, ON
Full-time
…manage every stage of the advertising lifecycle through a single platform that connects production, assets, rights, delivery, and…
Added 29 days ago
Carpenter Apprentice
Centron Group
Calgary, AB
Full-time
For over 40 years, Centron has cultivated its reputation as a renowned builder and developer of prime real estate properties across Western Canada through its passionate commitment to…
Added 29 days ago
Carpenter
Centron Group
Calgary, AB
Full-time
For over 40 years, Centron has cultivated its reputation as a renowned builder and developer of prime real estate properties across Western Canada through its passionate commitment to…
Added 8 days ago
Founding Business Development Rep (AI Cloud US/CA)
Featherless AI
Remote, Canada
Full-time · Remote
Featherless.ai is building the world’s most reliable open-model inference platform - a serverless foundation for deploying and scaling AI without infrastructure overhead.
Added 7 days ago
Customer Success Manager
AppHelp by AppDirect
Montreal, QC
Full-time
…around the world. AppDirect offers a subscription commerce platform to sell any product, through any channel, on any device - as a service. We power millions of subscriptions worldwide for…
Added 12 days ago
Developer - Data, AI, Platform & Support
BMO
Toronto, ON · FCP
Full-time
…pushing boundaries, we transform lives and businesses, and power economic growth around the…
Added 12 days ago
Development Manager
BMO
Toronto, ON · FCP
Full-time
…version control systems, and third-party apps. Ensures cross-platform compatibility and fixes issues during test and production…
Added 12 days ago
Production Operations Manager
BMO
Toronto, ON · SCC
Full-time
Partner with engineering and platform teams to integrate automation into operational processes.
Added 12 days ago
Development Manager
BMO
Toronto, ON · FCP
Full-time
…version control systems, and third-party apps. Ensures cross-platform compatibility and fixes issues during test and production…
Added 9 days ago
Trading Enablement Specialist
BMO
Toronto, ON · FCP
Full-time
…and prospects to provide Active Trading and Options trading platform demos, support with Active Trading related workflow setup and trouble-shooting, liaise with Active Trader Relationships…
Added 12 days ago
Lead Infrastructure Architect
Financial Services Regulatory Authority (FSRA)
Toronto, ON · FSRA Head Office
Full-time
Builds scalable, secure, and cost-optimized environments that support enterprise platforms such as Dynamics 365, Power Platform, and Office 365.
Added 12 days ago
Staff Product Engineer - Brand
Faire
Toronto, ON · Waterloo, ON
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale…
Added 7 days ago
Sr. Site Process Engineer
Syensqo
Welland, ON
Full-time
Added 18 days ago
Applied Machine Learning - Co-op Student
Loblaw Companies Limited
Brampton, ON
Full-time
Developing solutions within Google Cloud Platform (GCP) and Windows virtual machine environments.
Added 12 days ago
Quantitative Developer (Alpha Research Team) - GAM, Summer 2027 (Co-op/Internship) - 12 months
BMO
Toronto, ON · FCP
Full-time
…BMO Social Squad student-led activities, BMO Academy learning platform and access to various Employee Resource Groups to further develop your network within…
Added 8 days ago
Investment Banking Analyst
BMO
Toronto, ON
…of products to clients through an integrated Capital Markets platform using a sector ecosystem…

Zown

Artificial Intelligence Engineer

Toronto, ON, Canada

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

Apply About employer

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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.

Apply 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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