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Added 3 months ago
LT
Frontend/UI Developer
Larus Technologies
Ottawa, Ontario
- Full-time
We are looking for a UI/Frontend Developer to join the Larus team. You will design and build the interfaces through which military planners, analysts, and decision-makers make sense of…
Added 6 months ago
AI
Solution Engineer - Tooling (Vehicle Intelligence)
Applied Intuition
Owen Sound, Ontario
- Full-time
…As a Solution Engineer on the Tooling pillar, you will work with ADAS and AD engineering teams at OEMs and Tier 1s to architect and build solutions with Applied’s simulation, data…
Added 6 months ago
AI
Solution Engineer - Vehicle OS
Applied Intuition
Owen Sound, Ontario
- Full-time
Developer toolchain A code-first toolchain that replaces GUI-bound configuration workflows. Engineers model vehicle behavior in Python, manage changes through pull requests, and validate in…
Added 6 months ago
F
Machine Learning Engineer
FactualIQ
Remote, Canada
- $160,000 to $190,000 CAD / year
- Full-time
- Remote
Expert-level Python programming with deep knowledge of ML frameworks (PyTorch, TensorFlow, or similar).
Added 3 months ago
FS
DSP Designer
Fidus Systems
Remote, Canada
- Full-time
- Remote
Fidus is a global high-tech design firm headquartered in Ottawa, with additional design centres in Kitchener-Waterloo and San Jose. We specialize in leading-edge electronic product…
Added 3 months ago
FS
DSP Designer
Fidus Systems
Remote, Canada
- Full-time
- Remote
Fidus is a global high-tech design firm headquartered in Ottawa, with additional design centres in Kitchener-Waterloo and San Jose. We specialize in leading-edge electronic product…
Added 3 months ago
GP
AI/ML Engineer Intern (2027)
Georgian Partners Growth
Remote, Canada
- Internship
- Remote
Georgian is a Toronto-based venture capital firm that partners with high-growth technology companies across cybersecurity, AI software, robotics, defense. We manage about $6B in assets and…
Added 2 months ago
Senior Data/AI Engineer
Guidepoint
Toronto, ON
Integrate Intelligent Systems: Engineer solutions that seamlessly combine LLMs with our proprietary knowledge repositories, external APIs, and real-time data streams to create powerful…
Added 6 months ago
QT
Senior Applied AI Engineer - Product & Revenue Systems
QEA Tech
Markham, Ontario
- Full-time
Work with QEA’s data pipelines, imagery, analysis outputs, and customer data to continuously improve AI systems and product capabilities.
Added 6 months ago
Z
Senior Backend Engineer (.NET & AI/ML)
Zonda
Toronto, Ontario
- $110,000 to $130,000 CAD / year
- Full-time
We are hiring a Senior Backend Engineer with strong .NET and AI/ML expertise to design and build scalable, high-performance backend systems and AI-powered features for NewHomeSource.com and…
Added 6 months ago
Z
Senior Backend Engineer (.NET & AI/ML)
Zonda
Montreal, Quebec · Greater Montreal Metropolitan Area
- $110,000 to $130,000 CAD / year
- Full-time
We are hiring a Senior Backend Engineer with strong .NET and AI/ML expertise to design and build scalable, high-performance backend systems and AI-powered features for NewHomeSource.com and…
Added 6 months ago
Z
Senior Backend Engineer (.NET & AI/ML)
Zonda
Vancouver, British Columbia
- $110,000 to $130,000 CAD / year
- Full-time
We are hiring a Senior Backend Engineer with strong .NET and AI/ML expertise to design and build scalable, high-performance backend systems and AI-powered features for NewHomeSource.com and…
Added 6 months ago
F
Computer Vision & Behavioral Signal Analysis Intern (Travel + Hospitality Focus)
FairwAI
Remote, Canada
- Remote
Collaborate with researchers, clinicians, and policy experts to annotate and validate bias signals
Added 6 months ago
KC
Senior Manager GRC
KPMG Canada
Toronto, Ontario
- Full-time
…develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a…
Added 6 months ago
O
Développeur en tests logiciels - Software Developer in Test
OneSpan
Montreal, Quebec
- Full-time
A Software Developer in Test (SDET) is a hybrid role that blends software engineering expertise with deep testing skills. SDETs design, develop, and maintain automated test frameworks,…
Added 6 months ago
A
Principal Data Scientist (m/f/d)
AutoTrader.ca
Toronto, Ontario
- Full-time
…AI initiatives that influence millions of users worldwide, with a focus on both strategic vision and hands-on innovation. In this role, you’ll collaborate cross-functionally with product,…
Added 3 months ago
EN
Sr Principal SW Systems Engineer (10342)
Extreme Networks
Toronto, ON
- Full-time
Become part of something big with Extreme! As a global networking leader, learn why there is no better time to join the Extreme team.
Added 3 months ago
Q
Machine Learning Engineer, AI Processors (Sr to Staff)
Qualcomm
Markham, ON
- Full-time
Stay current with the latest advances in artificial intelligence, machine learning, and foundation models.
Added 1 month ago
JG
Gen AI (AWS) Developer
J&M Group
Toronto, ON
- Full-time
We are seeking a GenAI Developer with 5-8 years of experience in designing, developing, and deploying AI-driven solutions. The ideal candidate should have strong expertise in Generative AI,…
Added 1 month ago
DI
Test Automation Developer - Winter 2027 Co-op/Intern
Definity Insurance Company
Waterloo, ON
- Full-time
…future. That’s why it makes sense to choose a co-op placement with a company that offers truly rewarding work and real-life experience. At Definity®, your contributions, creativity, and…
Added 1 month ago
T
Manager, Web & Mobile Delivery (Bilingual)
TVO
Toronto, ON
- Full-time
Improve SDLC and CI/CD practices to increase developer velocity and reduce operational toil leveraging AI-assisted accelerated development with well-defined guardrails.
Added 1 month ago
RB
Sr. Audit Manager - Model Risk CoE
Royal Bank of Canada
Toronto, ON
- Full-time
…assessment of the effectiveness of model risk management practices with focus on AML, Credit Risk, Artificial Intelligence & Machine Learning (AI/ML), Stress Testing, Valuation, Market…
Added 1 month ago
R
Sr. Audit Manager - Model Risk CoE
RBC
Toronto, ON
- Full-time
…assessment of the effectiveness of model risk management practices with focus on AML, Credit Risk, Artificial Intelligence & Machine Learning (AI/ML), Stress Testing, Valuation, Market…
Added 6 months ago
TC
Unpaid Internship - ML Engineering
The Commons XR
Remote, Canada
- Remote
…foundational knowledge (similar to what you would be interning on with projects with us). Please apply quickly as our internship posting generally closes after one (1) Week. You will be…
Added 6 months ago
C
Staff Chip Design Engineer - FPGA
Cognichip
Toronto, Ontario
- $184,000 to $222,000 CAD / year
- Full-time
…Staff FPGA Design Engineer, you will fuse chip design expertise with cutting-edge ML to create the intelligent, end-to-end silicon design flows. If you thrive on pushing the envelope of the…

Zonda

Senior Backend Engineer (.NET & AI/ML)

Vancouver, BC, Canada

$110,000 to $130,000 CAD / year · Full-time

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Job details

Pay: $110,000 to $130,000 CAD / year
Job type: Full-time
Experience: 2+ years of hands-on experience shipping AI/ML features into production, such as ranking, personalization, recommendations, or LLM-powered services.
Posting language: English
Posted: May 5, 2026

Original job description

Senior Backend Engineer - .NET and AI/ML

(Backend Systems

Distributed Architecture
gRPC Microservices
Cloud Services
AI/ML & LLM Engineering)

Zonda is redefining the future of housing. We are perfectly placed in the heart of the fast-growing real estate industry. We are making big bets on the future of real-estate, trailblazing a 2030 vision for the industry. Here at Zonda, you’ll be able to use your passion and curiosity to drive the next generation of real estate analysts, advisors, and technologists.

We are hiring a Senior Backend Engineer with strong .NET and AI/ML expertise to design and build scalable, high-performance backend systems and AI-powered features for NewHomeSource.com and Livabl, two of North America's largest new-home and pre-construction marketplaces.

This is a dual-focus role: you will spend meaningful time on both core backend engineering (.NET, gRPC microservices, SQL Server, MongoDB, Elasticsearch, AWS, Azure) and AI/ML engineering (LLMs, RAG, vector search, MCP, ranking, personalization). You'll work across our API Gateway, gRPC microservices, Search Engine, MVC web applications, and MCP (Model Context Protocol) server to ship features that directly impact millions of homebuyers. Working hours align with the Eastern Time (EDT/EST) zone.

What You'll Do

Backend Engineering

Design, develop, and maintain backend services, REST APIs, and gRPC microservices using .NET Framework and .NET Core / .NET 8+ in C#.
Build and evolve gRPC service contracts using Protocol Buffers(.proto), including streaming, error handling, and versioning across services and API gateways.
Build and optimize data layers across SQL Server, MongoDB, and Elasticsearch, including indexing, query tuning, sharding, and relevance tuning.
Apply DDD, CQRS,MediatR, and Minimal API patterns; structure code into Aggregate Roots, Commands/Handlers, and endpoints consistent with our engineering conventions.
Improve performanceviacaching, async patterns, distributed processing, and event-driven messaging.
Build cloud integrations across AWS and Azure (compute, storage, queues, observability). Both clouds are equally important.
Contribute to CI/CD pipelines, GitHub Actions workflows, automated testing, containerization (Docker), and deployment automation.
Uphold code quality, observability, structured logging, and operational excellence.

AI/ML Engineering

Design and ship AI/ML-powered backend features such as search ranking, recommendations, personalization, and intelligent listing experiences.
Build and operate RAG pipelines, vector search, embeddings stores, and LLM-powered services, integrated cleanly into our .NET ecosystem.
Build, extend, and maintain our MCP (Model Context Protocol) server, including designing MCP tools, managing context windows, and exposing backend capabilities to AI agents and assistants.
Integrate ML models into production via inference APIs, ranking services, gRPC endpoints, and personalization endpoints.
Use GA4 / Segment event data to power behavioral signals, personalization, and ranking features.
Evaluate and apply emerging AI tooling (LLM providers, agent frameworks, vector DBs) to solve real product problems.
Apply AI-assisted development tools (GitHub Copilot, Copilot Coding Agent, Copilot Spaces) in day-to-day engineering.

Who You Are

Backend Engineering

7+ years building production backend systems with .NET Framework and .NET Core / .NET 6+.
Strong expertise in REST API design, distributed systems, and microservices architecture.
Hands-on experience designing and operating gRPC services in production with Protocol Buffers(.proto), including service contracts, code generation, error handling, deadlines, and inter-service communication patterns.
Deep SQL Server experience: complex queries, indexing, stored procedures, and performance tuning.
Hands-on production experience with MongoDB and Elasticsearch.
Production experience on both AWS and Azure (compute, queues, storage, observability).
Solid grasp of Git/GitHub, CI/CD, Docker, automated testing, and DevOps fundamentals.
Experience with high-traffic, performance-sensitive consumer web platforms.

AI/ML Engineering

2+ years of hands-on experience shipping AI/ML features into production, such as ranking, personalization, recommendations, or LLM-powered services.
Strong working knowledge of LLMs, embeddings, vector databases, and RAG architectures.
Hands-on experience with MCP (Model Context Protocol), including designing and configuring MCP tools, managing context windows, and integrating MCP servers into backend services.
Experience integrating inference APIs and ML models into production backends.
Familiarity with prompt engineering, evaluation, and guardrails for LLM-based systems.
Experience with GA4 / Segment event data for personalization or ranking is a plus.
Exposure to Python ML tooling (LangChain, Hugging Face, SageMaker, Vertex AI,MLflow) is a plus.

Preferred Qualifications

Experience with search relevance, ranking, or recommendation systems at scale, especially on Elasticsearch.
Experience modernizing legacy .NET (Framework to .NET Core / .NET 8+) or migrating monoliths to gRPC-based, cloud-native architectures.
Familiarity with distributed caching (Redis), event-driven systems (Kafka / SNS / Azure Service Bus), API Gateways, and CQRS/MediatR.
Experience building MCP servers, AI agents, or internal AI developer tools.
Real estate, marketplace, or classifieds domain experience.

Tech Stack

Backend:  .NET Framework, .NET Core / .NET 8+, C#, ASP.NET Minimal APIs, gRPC, Protocol Buffers,MediatR
Databases:  SQL Server, MongoDB, Elasticsearch
Cloud:  AWS, Azure
AI/ML:  LLMs, RAG, Vector DBs, MCP (Model Context Protocol),LangChain,MLflow, Python (optional)
DevOps:  GitHub, GitHub Actions, Docker, CI/CD, observability tooling
Analytics:  GA4, Segment
Frontend (adjacent awareness):  Next.js, React, TypeScript

Why People Love Working Here

We offer meaningful work and opportunities for career growth
Competitive Salary
100% paid by Zonda health benefit package
100% Company paid Life Insurance coverage
Paid vacation and general holidays
Employee Assistance Program (EAP)
Live Meditation Sessions
Employee Recognition Platform
Virtual Wellness Program
100% Hybrid – and always will be!
Visionary Leadership Team

Inclusion & Equal Opportunity Employment

Zonda is proud to be an Equal Opportunity Employer committed to diversity, inclusion & belonging. Here at Zonda, we are interested in every qualified candidate who is eligible to work in Canada.

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More about this job

Responsibilities

Design, develop, and maintain backend services and AI/ML-powered features for real estate platforms. Work across various systems to ship features that impact millions of homebuyers.

Requirements

Candidates should have 7+ years of backend engineering experience with .NET and 2+ years of AI/ML feature development. Strong expertise in distributed systems, microservices, and cloud services is essential.

Skills

Backend Engineering
AI/ML Engineering
gRPC
Microservices
SQL Server
MongoDB
Elasticsearch
AWS
Azure
C#
REST APIs
DevOps
Docker
CI/CD
LLMs
Personalization

Benefits

Health Insurance
Life Insurance
Paid Vacation
Employee Assistance Program
Virtual Wellness Program

Visa sponsorship

Not detected in the job text

Keywords

Backend Engineering
AI/ML
gRPC
Microservices
SQL Server
MongoDB
Elasticsearch
AWS
Azure
C#
REST APIs
DevOps
Docker
CI/CD
LLMs
Personalization
Search Ranking
Recommendations
Behavioral Signals
Event Data
MCP
Vector Databases
Prompt Engineering
GitHub Actions
Observability
Caching
Distributed Processing
Event-Driven Messaging
High-Traffic Platforms
Real Estate

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