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Added 13 hours ago
Applications Engineer
Husky Technologies
Bolton, ON
Full-time
Apply a data-driven, first-principles approach, leveraging scientific modeling, experimentation, and advanced analytics to understand, predict, and optimize complex physical phenomena.
Added 13 hours ago
ERP Business Analyst
Husky Technologies
Bolton, ON
Full-time
Advanced business process knowledge in one or more of the following areas: Finance, Discrete Manufacturing, Engineer-to-Order (ETO) Manufacturing, Supply Chain, Warehouse Management, and…
Added 14 hours ago
Mining Potash Lead
HDR
Toronto, ON · Vancouver, BC
Full-time
…responsible growth. This isn’t just a job, it’s a chance to engineer smarter solutions, drive industrial innovation and make a lasting…
Added 14 hours ago
Associate Software Engineer (Winter 2027)
AltaML
Toronto, ON
Full-time
As an Associate Software Engineer you’ll play a hands-on role in building and scaling our agentic platform - an intelligent, adaptive system designed to automate workflows and power smarter…
Added 17 hours ago
Intermediate Software Engineer
AltaML
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't
Added 19 hours ago
ERP Business Analyst
Husky Technologies
Bolton, ON
Full-time
Advanced business process knowledge in one or more of the following areas: Finance, Discrete Manufacturing, Engineer-to-Order (ETO) Manufacturing, Supply Chain, Warehouse Management, and…
Added 19 hours ago
Data Engineering Solutions Architect - Technology Services Group
Optimus SBR
Toronto, ON
Full-time
Reverse engineer existing databases and schemas into ERDs, ensuring accuracy, traceability, and clarity
Added 19 hours ago
Applications Engineer
Husky Technologies
Bolton, ON
Full-time
Apply a data-driven, first-principles approach, leveraging scientific modeling, experimentation, and advanced analytics to understand, predict, and optimize complex physical phenomena.
Added 19 hours ago
Senior Software Engineer II (Full Stack), Analytics & Automation (Remote Canada)
Optro
Remote, Canada
$164,000 to $225,500 CAD / year
Full-time · Remote
We are looking for a highly motivated senior software engineer who can lead large, strategic, and complex projects. This position demands a high level leadership, mentoring other engineers…
Added 20 hours ago
Lead Data/Analytics Engineer
Dutch
Vancouver, BC
We’re looking for a Lead Data/Analytics Engineer to own how Dutch measures its product and business. You’ll run the event instrumentation pipeline, build the models and metrics layers that…
Added 22 hours ago
Machine Learning Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
…job search. They are seeking an Early Career Machine Learning Engineer to design, build, and maintain scalable infrastructure for AI agents, as well as optimize data processing and develop…
Added 22 hours ago
Machine Learning Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
…job search. They are seeking an Early Career Machine Learning Engineer to design, build, and maintain scalable infrastructure for AI agents, as well as optimize data processing and develop…
Added 22 hours ago
AI Engineer, Mid Level
Jobright.ai
Canada
Full-time
…and helps users find better job outcomes. The Mid-Level AI Engineer designs, builds, evaluates, deploys, and operates machine learning and generative AI capabilities, including…
Added 1 day ago
Applications Engineer
Husky Technologies
Bolton, ON
Full-time
Apply a data-driven, first-principles approach, leveraging scientific modeling, experimentation, and advanced analytics to understand, predict, and optimize complex physical phenomena.
Added 1 day ago
ERP Business Analyst
Husky Technologies
Bolton, ON
Full-time
Advanced business process knowledge in one or more of the following areas: Finance, Discrete Manufacturing, Engineer-to-Order (ETO) Manufacturing, Supply Chain, Warehouse Management, and…
Added 3 days ago
Management Consultant - Mining
Accenture
Calgary, AB · Vancouver, BC · Toronto, ON · Montreal, QC
Full-time
You move comfortably between a technical conversation with an engineer and a business case in front of a sponsor. You can identify where value is leaking before anyone has told you to look.…
Added 1 day ago
AI Engineer, Agent Product (Full-time/Part-time) (Canada)
Jobright.ai
Canada
Full-time · Part-time
Jobright is a rapidly growing AI job search platform in the U.S. that aims to simplify the job search process. The AI Engineer will be responsible for designing, building, and deploying AI…
Added 1 day ago
AI Engineer, Entry Level (Canada)
Jobright.ai
Canada
Full-time
…the job search experience. They are seeking an entry-level AI Engineer to build and refine autonomous AI agents, develop sophisticated prompt engineering workflows, and integrate Large…
Added 1 day ago
Prompt Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
…job search process. They are seeking an early-career Prompt Engineer to craft and evaluate prompts that enhance the performance of AI outputs across user-facing…
Added 1 day ago
AI Engineer, Entry Level (Canada)
Jobright.ai
Canada
Full-time
…the job search experience. They are seeking an entry-level AI Engineer to build and refine autonomous AI agents, develop sophisticated prompt engineering workflows, and integrate Large…
Added 1 day ago
AI Engineer, Mid Level
Jobright.ai
Canada
Full-time
…and helps users find better job outcomes. The Mid-Level AI Engineer designs, builds, evaluates, deploys, and operates machine learning and generative AI capabilities, including…
Added 1 day ago
AI Engineer
Zafin
Toronto, ON
Full-time
As an AI Engineer, part of Zafin's AIOS Platform or Forward Deploy Units, you'll help turn practical AI ideas into reliable software that customers can use every day. You'll work across the…
Added 1 day 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 1 day ago
AI Engineer
Zafin
Toronto, ON
As an AI Engineer, part of Zafin’s AIOS Platform or Forward Deploy Units, you’ll help turn practical AI ideas into reliable software that customers can use every day. You’ll work across the…
Added 1 day ago
Prompt Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
…job search process. They are seeking an early-career Prompt Engineer to craft and evaluate prompts that enhance the performance of AI outputs across user-facing…

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.

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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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