Who We Are:

Salesfloor’s mission is to revolutionize the retail sales and service experience by combining human connection with the power of AI. Our award-winning virtual selling platform provides associates an app they use to personalize communication with shoppers both in-store and online using a mix of live chat, video calling, e-mail, SMS and social channels. Using Salesfloor associates help shoppers find the right products, get promotions, check inventory, and more, ultimately delivering the world’s best omnichannel retail experience. During the pandemic over 45,000 product experts from stores around the world have driven more than $2 billion in sales.

What You’ll Be Doing:

Reporting to the Director, AI Product Development, the AI Architect will work with an autonomous Customer Value Team (CVT) composed of developers and quality assurance people. Each CVT is responsible for defining their own roadmap, working directly with our Client Services team to connect with customers and associates to understand their needs. Each CVT leader is given an unusually wide latitude to define and deliver success on their own terms. We like to think that each CVT is its own self-contained startup unit so this role is well suited to entrepreneurial minded leaders who thrive in a low oversight, high responsibility environment where they are trusted to build and coach their teams, connect with customers and users, and innovate to deliver value in a repeatable, predictable and high quality way.

• Train and fine-tune LLMs using new datasets, adjusting hyperparameters, and testing different model variations.
• Develop and update AI-powered product features, such as chatbots, search enhancements, or recommendation systems.
• Deploy AI models and services to GCP/AWS, configuring Kubernetes for scalability and reliability.
• Monitor model performance by reviewing logs, tracking latency, and troubleshooting issues in production.
• Collaborate with product managers and engineers in sprint planning, stand-ups, and design discussions.
• Analyze user interactions and feedback to refine AI responses and improve accuracy.
• Implement and review security measures to protect AI systems from adversarial threats and ensure compliance.
• Stay updated on AI advancements, experiment with new techniques, and apply them to improve product offerings.

What We’re Looking For:

• Master’s degree in Computer Science, Engineering, Information Systems, or a related field.
• Extensive hands-on experience with Large Language Models (LLMs), including fine-tuning, Retrieval-Augmented Generation (RAG), agentic architecture, prompt engineering, and optimization.
• Proven experience designing and implementing AI architectures, with a focus on scalability, efficiency, and performance optimization.
• Deep expertise in analyzing, interpreting, and improving LLM outputs, using techniques such as model distillation, dataset curation, and inference optimization.
• Strong software development background, with proficiency in TypeScript, and Python (PHP is a plus).
• Cloud expertise in GCP or AWS, with hands-on experience deploying and managing AI workloads on Kubernetes.
• Experience with production AI systems, including performance monitoring, debugging, and model lifecycle management.
• Familiarity with security best practices for AI applications, including data privacy, access control, and adversarial robustness.
• Strong problem-solving skills, with the ability to architect and optimize AI-driven solutions for real-world applications
• Previous experience with Conversation AI a plus
• Previous experience in the e-commerce industry a plus

Life at Salesfloor:

• While our office in Montreal is available to everyone, we offer a hybrid work policy
• Health care and dental coverage for all full time employees
• Telemedicine service, paid for by the company for full time employees enrolled in our benefits program.
• Summer Friday
• Mentorship Program and Udemy for L&D
• As a rare profitable startup, Salesfloor offers the speed, impact and excitement of startup culture while also offering the stability and lessened risk of a larger public company
• Founders and leadership team have a proven track record for successful start-ups and previous exits that have put proceeds into the hands of employees