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Added 22 mins ago
Founding DevOps/SRE Engineer
Requesty
London, ON
Full-time
…adding telemetry, analytics, load balancing, MCP integrations, prompt management, data loss protection and much more out of the…
Added 18 hours 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 14 days ago
Applied Data Scientist, Health AI Evaluation & Datasets
Innodata Inc.
Canada
$210,000 to $240,000 USD / year
Full-time
You will work in a tight pod with a Technical Solutions Architect, Applied Research Scientist, AI/ML Research Engineer, and Language Data Scientists. Your role is to make sure the data,…
Added 4 days ago
Lead Software Engineer – Java/Spring, AWS & Solution Architecture
Element Fleet Management
Toronto, ON
Full-time
…including AI agents, workflow automation, LLM integration, prompt orchestration, tool/function calling, human-in-the-loop controls, and responsible AI…
Added 2 days ago
Senior Electrical Engineer
AtkinsRéalis
Mississauga, ON
Full-time
Provide prompt response and engineering resolutions on any critical engineering related matters.
Added 6 days ago
Principal Engineer, Cyber Technology Operations SRE (Global Security)
RBC
Vancouver, BC · Toronto, ON
Full-time
…to move at a faster pace being more prevalent, the Principal Engineer, Cyber Technology Operations SRE will ensure that security technologies, services and controls are streamlined,…
Added 6 days ago
Lead Platform Engineer
RBC
Toronto, ON
Full-time
Are you interested in working as a Lead Platform Engineer on the Global Payments Platform and DevOps team in Technology & Operations at the Royal Bank of Canada?
Added 1 day ago
Senior Software Engineer- Applied AI
Morningstar
Toronto, ON
Full-time
We are seeking a Senior Software Engineer to build the applied systems that bring AI capabilities into production: the data pipelines, LLM integrations, agentic workflows, tool interfaces,…
Added 2 days ago
Senior Software Engineer, Fullstack
Outschool
Canada
Full-time
We're looking for a Senior Software Engineer, Fullstack to join our Product Engineering team in South Korea. The team’s mission is to build high-quality product experiences that help…
Added 1 day ago
Senior Software Engineer, Fullstack
Outschool
Canada
We're looking for a Senior Software Engineer, Fullstack to join our Product Engineering team in South Korea. The team’s mission is to build high-quality product experiences that help…
Added 1 day ago
Applied Scientist II, Alexa Daily Essentials Science and Analytics
Amazon Science
Vancouver, BC
Full-time
Build evaluation and benchmarking frameworks - automated test suites, LLM-as-judge pipelines, competitive benchmarks, and regression detection across model versions and prompt strategies
Added 1 day ago
Agent & DevOps Platform Engineer
Epsilon Solutions Ltd.
Toronto, ON
Full-time
Strong understanding of LLMOps concepts: prompt management, tool use, agent architectures, evaluation, observability, and reliability
Added 2 days ago
Assistant Shift Operating Engineer
National Research Council Canada
Ottawa, ON
We are looking for an Assistant Shift Operating Engineer to support our Real Property Planning and Management Branch. The incumbent would be someone who shares our core values of Integrity,…
Added 1 day ago
Senior Java Software Engineer
Amaris Consulting
Montreal, QC
Full-time
…Agile squad. This is an excellent opportunity for a hands-on engineer who enjoys solving complex technical problems involving high-volume data processing, distributed computing, and…
Added 1 day ago
Senior software engineer: Applied AI
Morningstar
Toronto, ON
Full-time
We are seeking a Senior Software Engineer to build the applied systems that bring AI capabilities into production: the data pipelines, LLM integrations, agentic workflows, tool interfaces,…
Added 1 day ago
Group Product Manager, AI & Data
Rightsline Inc
Toronto, ON
$190,000 to $205,000 CAD / year
Full-time
Added 2 days ago
Software Engineer II
Guidewire Software
Toronto, ON · Mississauga, ON
Full-time
Guidewire’s development team is looking for a smart, proactive, and results-oriented Software Engineer II to build elegant solutions for the property & casualty insurance industry’s…
Added 1 day ago
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
Full-time
…and Agentic AI frameworks. This role is ideal for a mid-level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a…
Added 1 day ago
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
Full-time
…and Agentic AI frameworks. This role is ideal for a mid-level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a…
Added 1 day ago
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
Full-time
…and Agentic AI frameworks. This role is ideal for a mid-level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a…
Added 1 day ago
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
Full-time
…and Agentic AI frameworks. This role is ideal for a mid-level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a…
Added 1 day ago
Technology Lead - GenAI Lead
Infosys
Mississauga, ON
Full-time
…and Agentic AI frameworks. This role is ideal for a mid-level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a…
Added 2 days ago
Intermediate Python Engineer
Citi
Mississauga, ON
Full-time
Apply advanced prompt engineering, token usage optimization, and Retrieval-Augmented Generation (RAG) techniques to develop efficient, production-grade solutions using Citi's proprietary…
Added 2 days ago
Architect - Machine Learning
Quantiphi
Canada
Full-time
Lead Agentic Workflows: Engineer the orchestration layers for agentic AI, including planning, tool-use, and multi-step reasoning capabilities.
Added 2 days ago
Applied Scientist II, Alexa Daily Essentials Science and Analytics
Amazon
Vancouver, BC
Full-time
Build evaluation and benchmarking frameworks - automated test suites, LLM-as-judge pipelines, competitive benchmarks, and regression detection across model versions and prompt strategies

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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