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Added 1 month ago
RB
Full Stack Developer, AI
Royal Bank of Canada
Toronto, ON
- Full-time
Build and support data engineering pipelines integrating cloud platforms (Snowflake, OpenShift, AWS) with automation, databases, and workflow orchestration tools (Airflow, Ansible, Stone…
Added 1 month ago
A
Analyste BI senior
AtkinsRéalis
Montreal, QC
- Full-time
Python for data preparation, automation or analytics.
Added 1 month ago
SG
Tech Ops Engineer
Scientific Games
HR Canada
- Full-time
…We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation,…
Added 6 months ago
QT
Senior Applied AI Engineer - Product & Revenue Systems
QEA Tech
Markham, Ontario
- Full-time
The ideal candidate has 5+ years of experience in applied AI, machine learning, data engineering, computer vision, LLM-based systems, or growth engineering.
Added 6 months ago
H
Senior Software Developer
Hive
Remote, Canada
- $123,600 to $187,900 CAD / year
- Full-time
- Remote
Our Engineering team owns the code that lets our customers do powerful things with our product, simply and intuitively. We care about delivering the right product iterations quickly - we…
Added 6 months ago
RA
Staff Embedded Software Engineer, Virtualization
Rivian and Volkswagen Group Technologies
Vancouver, British Columbia
- $137,300 to $181,890 CAD / year
- Full-time
…possible, unlocking a new era of rapid iteration and insight-driven engineering across the vehicle…
Added 6 months ago
Z
Senior Backend Engineer (.NET & AI/ML)
Zonda
Toronto, Ontario
- $110,000 to $130,000 CAD / year
- Full-time
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…
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
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…
Added 6 months ago
Z
Senior Backend Engineer (.NET & AI/ML)
Zonda
Vancouver, British Columbia
- $110,000 to $130,000 CAD / year
- Full-time
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…
Added 6 months ago
S
Software Architect - AI Accelerated Engineering Lead / Architecte Logiciel
Slalom
Montreal, Quebec
- Full-time
Compétences en programmation : maîtrise de langages comme TypeScript/Node, Python ou Java ; à l’aise avec React/Next et les frameworks modernes.
Added 6 months ago
S
MuleSoft Senior Developer- Enterprise
Slalom
Toronto, Ontario · Greater Toronto Area, Canada
- Full-time
Job Title: MuleSoft Senior Developer- Enterprise (For Vacant Role)
Added 6 months ago
C
Optimum Adobe Engineer (contract)
Capgemini
Toronto, Ontario
- Contract
…govern 50+ campaigns weekly, ensuring accuracy, compliance with data and contact governance, alignment with creative logic, and robust post-campaign reporting for leadership…
Added 6 months ago
F
Computer Vision & Behavioral Signal Analysis Intern (Travel + Hospitality Focus)
FairwAI
Remote, Canada
- Remote
Experienced in Python-based ML and vision workflows
Added 6 months ago
SC
Intermediate Software Developer
SRC CAN
Ottawa, Ontario
- Full-time
SRC CAN Ltd is seeking an Intermediate Software Developer to contribute to the design, development, and delivery of next-generation EW Operational Support Systems (EWOSS) including…
Added 6 months ago
F
Senior Frontend Engineer
Forma.ai
Toronto, Ontario
- $140,000 to $175,000 CAD / year
- Full-time
…automation, APIs, claims management, next-generation reporting, and data exploration…
Added 6 months ago
K
Software Engineer, AI
Klue
Toronto, Ontario
- $92,000 to $119,000 CAD / year
- Full-time
We're looking for a Software Engineer with production experience to join our Toronto AI engineering team. You'll help us build and improve the LLM-powered agent systems that turn millions…
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
HI
US Portfolio Manager
Hillsdale Investment Management Inc.
Toronto, Ontario · Greater Toronto Area, Canada
- Full-time
Lead the architecture and continuous improvement of our quantitative research platform, partnering with engineering to translate research needs into production-ready systems.
Added 6 months ago
A
Principal Data Scientist (m/f/d)
AutoTrader.ca
Toronto, Ontario
- Full-time
Join our global Data Science team and take a leadership role in shaping the future of the automotive marketplace through cutting-edge AI and machine learning. As a Principal Data Scientist,…
Added 6 months ago
M
Senior Design Engineer - Vehicle Systems
Multimatic
Markham, Ontario
- Full-time
Located in Markham, Ontario, Canada, Multimatic Technical Centre (MTC) is part of Multimatic’s Engineering Group. MTC provides advanced design, simulation, testing and prototyping services…
Added 3 months ago
EN
Sr Principal SW Systems Engineer (10342)
Extreme Networks
Toronto, ON
- Full-time
…individual contributor within a matrix of cross-functional teams - data scientists, product managers, engineers, architects, and customers -…
Added 3 months ago
Q
Machine Learning Engineer, AI Processors (Sr to Staff)
Qualcomm
Markham, ON
- Full-time
Engineering Group, Engineering Group > Machine Learning Engineering
Added 1 month ago
OT
Senior Software Developer (Java)
Open Text Corporation
Richmond Hill, ON
- Other
…multi-tenant SaaS applications. We are looking for a Senior Software Developer with a focus on Backend and AI development to join our platform development…
Added 1 month ago
Digital Architect
Lightmatter
Toronto, ON
Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine,…
Added 3 months ago
Associate Product Engineer
Maybell Quantum Industries
Quinte West, Ontario
Experience using data analysis tools such as Excel, Python, or MATLAB.

Zonda

Senior Backend Engineer (.NET & AI/ML)

Toronto, ON, 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 including API Gateway, gRPC microservices, and cloud integrations.

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
MCP

Benefits

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

Visa sponsorship

Not detected in the job text

Keywords

Backend Engineer
AI/ML
gRPC
Microservices
Cloud Services
SQL Server
MongoDB
Elasticsearch
AWS
Azure
C#
REST APIs
DevOps
Docker
CI/CD
LLMs
RAG
Vector Databases
MCP
GitHub
GA4
Segment
Event Data
Personalization
Recommendations
Search Ranking
Distributed Systems
Performance Tuning
Caching
Event-Driven Messaging

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