Senior Software Engineer at CommerceIQ

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

06 Jan, 26

Salary

0.0

Posted On

08 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, Python, AI, ML, Cloud-Native Architectures, Microservices, Event-Driven Systems, CI/CD Pipelines, Problem-Solving, Communication, Startup Mindset

Industry

Software Development

Description

Company Overview CommerceIQ’s AI-powered digital commerce platform is revolutionizing the way brands sell online. Our unified ecommerce management solutions empower brands to make smarter, faster decisions through insights that optimize the digital shelf, increase retail media ROI and fuel incremental sales across the world’s largest marketplaces. With a global network of more than 900 retailers, our end-to-end platform helps 2,200+ of the world’s leading brands streamline marketing, supply chain, and sales operations to profitably grow market share in more than 50 countries. 10 out of the top 12 CPG brands work with us, including Coca-Cola, Nestle, Colgate-Palmolive, and Johnson & Johnson. We’ve raised over $200M from some of the top investors including SoftBank, Insight Partners, and Madrona. Learn more at commerceiq.ai. The Role: We’re looking for a hands-on Software Engineer with an AI focus to join a new team we are incubating to be based in Toronto. In this founding engineer role, you’ll work closely with product managers, data scientists, and other engineers in both the U.S. and India to design, build, and ship the next generation of AI-powered commerce solutions, including Ally and OCC. Why this role matters Impact from day one: Join a small, high-impact U.S. team working on CommerceIQ’s newest AI-driven offerings. Hands-on AI development: Build and deploy real AI tools, not just consume pre-built services. Global exposure: Collaborate with a talented, distributed engineering organization serving the world’s largest brands. Location / Travel: This is a remote role based out of Toronto. Please note that we are only considering candidates located in the Toronto area for this role. What You'll Do: Design & build features: Develop scalable backend services (Java preferred; Python also welcome) and contribute to full-stack features, collaborating with cross-functional teams to bring AI-powered capabilities to market. Work with AI at the code level: Write code that integrates and deploys AI models (including LLM APIs), focusing on building tools that deliver real-time insights to users. Collaborate globally: Partner daily with our Bangalore-based engineering team to align on architecture, code quality, and delivery. Drive technical quality: Contribute to design discussions, code reviews, and best-practice adoption for performance, security, and maintainability. Own end-to-end delivery: Take features from design through deployment, ensuring they meet business requirements and user needs. What You'll Bring: 3-5 years of hands-on software engineering experience building backend services and/or full-stack applications. Proficiency in Java or a similar JVM language; strong Python skills and familiarity with AI/ML frameworks are a plus. Experience developing and deploying AI-powered applications, including integrating with LLM APIs. Knowledge of cloud-native architectures (AWS/GCP/Azure), microservices, event-driven systems, and CI/CD pipelines. Strong problem-solving and communication skills, with the ability to work effectively across time zones. Startup mindset; comfortable working in a fast-moving environment and wearing multiple hats. Bachelor's degree, preferably in Computer Science, Mathematics, or a related field. Check out our LinkedIn page to learn more about what it’s like to work at CommerceIQ! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other category prohibited by applicable law.

Responsibilities

Design and build scalable backend services and full-stack features while collaborating with cross-functional teams. Own end-to-end delivery of features from design through deployment, ensuring they meet business requirements and user needs.