Senior Software Engineer, Supplier Advertisting Gen AI

Wayfair; Toronto; Hybrid; CAD 207,000 - 239,000; Full time

Job summary

An innovative technology company is seeking a seasoned Software Engineer to join their Supplier Advertising team in Toronto. The successful candidate will lead engineering projects focused on the development of AI-driven advertising solutions, ensuring optimal performance and user experience. This role requires extensive experience in software design, cloud services, and machine learning integration, as well as a passion for driving collaboration and innovation within a fast-paced, dynamic environment.

Benefits

Extended health care

Global Traveler Health Insurance

24/7 access to wellness support

Tuition Reimbursement

Wayfair Employee Discount

Gym/Fitness Discounts

Qualifications

• 10+ years of experience in software engineering.
• Hands-on experience in integrating ML/AI systems.
• Strong software engineering skills including Java and Python.

Responsibilities

• Drive high impact architectural decisions and hands-on development.
• Advise on AI platform technical roadmap and ensure alignment with company objectives.
• Collaborate with teams to enhance customer experience and scalability.

Skills

Software Engineering

Machine Learning Integration

Cloud Platforms (GCP, AWS, Azure)

Microservices Architecture

Java

Python

Job description

Candidates for this position are preferred to be based in Toronto, Canada and will be expected to comply with their team's hybrid work schedule requirements.

The base pay for this position is $207,700- $238,855/ year. The base pay offered may vary depending on location, job-related knowledge, skills, and experience.

Who We Are

At Wayfair, we harness the power of technology innovation to connect suppliers with our extensive customer base. The advertising platform is an integral part of our mission. Operating on a vast selection of sponsored items of decor, home improvement, housewares, and more, our platform ensures that suppliers can showcase their offerings, enhancing visibility and driving sales. Wayfair is investing heavily in building a world class advertising business. Wayfair Advertising team owns features that form the core of our onsite and offsite advertising business. We are highly motivated, collaborative and fun loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.

We’re building autonomous, goal‑driven AI agents powered by LLMs to tackle key challenges in supplier advertising engineering—think automating campaign generation and optimizations, troubleshooting changes in KPIs, or automating generation of month-end campaign reports and recommendations. Looking for an individual contributor expert in designing, developing, and deploying multi‑step ML/LLM agents that turn complex supplier ad workflows into intelligent, autonomous systems.

One of the most significant growth drivers for advertising will be enabling sophisticated mechanisms to manage and troubleshoot campaigns at scale regardless of suppliers’ prior advertising know-how. You will have the opportunity to lead our engineering efforts in helping suppliers set up and manage their advertising portfolios on Wayfair.

You will invent, enhance, and build world-class software solutions, delivering results, and working on exciting and challenging projects.

You will also have a focus on the customer experience, great teamwork and communication skills, and a motivation to achieve results in a fast-paced environment.

Interested in learning more about Wayfair’s Engineering community?

• Check out our Wayfair Tech Blog: https://www.aboutwayfair.com/careers/techblog.
• Marina Berdichevsky leads our Advertising Experience Engineering team
• Brijesh Sharma is the Associate Director for Supplier Advertising

What You’ll Do:

• Partner with your business stakeholders to shape the future Supplier Advertising vision and roadmap
• Be a technical leader within and across the teams you work with.
• Drive high impact architectural decisions and hands-on development, including inception, design, execution, and delivery following good design and coding practices
• Obsessively focus on production readiness for the team including testing, monitoring, deployment, documentation and proactive troubleshooting.
• Identify risks and gaps in technical approaches and propose solutions to meet team and project goals
• Advise engineering and product management on AI platform technical roadmap, ensuring that the vision aligns with broader company objectives
• Promote a culture of engineering excellence and strengthen the technical expertise of our AI engineering and product teams
• Keep current on AI engineering technology trends, evaluate, work on proof-of-concept and make recommendations on the technologies based on their merit
• Collaborate with Product Managers (PM) and Experience Designers (XD) and MLS to balance cost-effectiveness with business value and prioritize engineering solutions accordingly.
• Mentor and coach engineers, conduct code reviews, and establish best practices to drive engineering excellence.
• Foster adoption of new technologies, platforms, and architectural solutions across the team.

We Are a Match Because You Have:

• 10+ years of experience in software engineering, with expertise in designing and building scalable platforms
• Hands on experience in integrating ML/AI system
• Deep understanding of cloud platforms such as GCP, AWS, or Azure.
• Strong software engineering skills (Java, Python, REST/GraphQL APIs, Docker, Kubernetes
• Expertise in microservices architecture for highly available, large-scale distributed systems.
• Ability to define a future state vision, lead large-scale architectural solutions, and guide step-by-step execution.
• Passion for leading cross-functional projects, driving collaboration, and influencing design decisions to enhance customer experience and scalability.
• Tenacity for learning - curious, and constantly pushing the boundary of what is possible.

Nice to have:

• GenAI experience: working with LLMs, RAG pipelines, vector databases, prompt tuning, or real-time AI inference optimization, or model evaluation tools
• Agentic AI expertise: familiarity or hands-on experience with frameworks enabling autonomous agents—ReAct, Reflective Loops, tool-using agents, multi-agent systems - coordination, or distributed AI architectures
• ML architecture: model fine-tuning, LLM evaluation, reinforcement learning, memory mechanisms, and agent orchestration
• Understanding of agentic AI governance, trust, risk, and security frameworks4

Benefits & Perks:

• In addition to provincial healthcare, Wayfair offers Canadian employees additional extended health care through Desjardins.
• Global Traveler Health Insurance through GeoBlue.
• 24/7 access to mental, financial, physical and emotional wellbeing support, plus an enhanced offering of therapy and coaching.
• Automatic enrollment into Basic Life and Accidental Death & Disability Insurance.
• Registered Retirement Savings Plan with day one vesting.
• Paid Parental Leave and Surrogacy & Adoption Reimbursement.
• Tuition Reimbursement.
• Personalized financial planning through LearnLux.
• Wayfair Employee Discount.
• Gym/Fitness Discounts (including Peloton, GoodLife Global ClassPass).
• Exclusive access to thousands of perks & discounts through Perkopolis and BenefitHub.
• Yearly match up to $500 for personal donations made by employees to registered 501(c)(3) nonprofits.

About Wayfair Inc.

Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.

No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.

Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us [e-mail].