2025-12-31 · Job posted on 2025-12-31 in TorontoToronto · Full Time · This is a Full TimePermanent · Permanent position. Software engineers and designers · View occupation: Software engineers and designers · Job ID: R2000611369 Job Description: We are seeking a Staff Machine Learning Engineer to join our team, focusing on the design, development, deployment and testing of advanced AI systems and sophisticated search agents. This role involves leveraging ML and cutting-edge Agentic AI for building robust, enterprise-scale AI applications in the Retail and ecommerce vertical. You will be working on system designs and guiding developers cross functionally besides the hands-on development work. What You'll Do: Architect and build Agentic AI systems utilizing state of the art technologies and agentic patterns, like ReAct, MultiAgent, Hierarchical MultiAgent, to solve business problems. Own the tech stack and maintain the agentic ecosystem utilizing highly scalable, robust, and efficient cloud infrastructure using LangGraph and GCP services. Develop high-performance enterprise-level Machine Learning models and AI agents using Python code within a microservices architecture, ensuring solutions are scalable, reliable, and maintainable. Champion and lead best practices for MLE, MLOps and LLMOps cross functionally, including QA practices and full end-to-end test automation. Collaborate, document and work closely with product team, senior leadership and other staff engineers at Loblaw Digital to drive Agentic AI solutions, source data/APIs, establish requirements, and define success metrics. Take ownership and drive of full end-to-end AI systems, mentor other machine learning developers, and contribute to raising the technical bar within the entire team. Does This Sound Like You? Customer-First Mindset – Passion for building AI products that make people's lives easier and allow them to focus on what is important to them. Strong Collaboration – Excellent communication skills and ability to thrive in a cross-functional, collaborative, fast-paced environment. Problem-Solving Excellence – Analytical thinker who can identify, diagnose, and resolve complex technical challenges in production-ready ML pipelines. Automation-First Approach – You are always thinking about automation and are comfortable using AI for productivity. Adaptability & Innovation – Willingness to quickly learn new technologies, come up with PoCs, mentor others and continuously improve the system. Ownership & Initiative – Ability to take ownership of AI systems and track KPIs. Qualifications: Bachelor’s degree or equivalent in Computer Science or a related field alongside a strong foundation in AI and Agentic systems, with more than 5 years of hands-on experience building scalable AI products. Software engineering proficiency in Python with AI Design Patterns, and 2+ years experience designing and supporting enterprise applications within a microservices architecture. Proven experience running and supporting ML workloads on the cloud (preferably GCP) with containerization and workflow orchestration in dev and production environments. Proven experience in LangChain ecosystem or other Agentic frameworks, NLP, LLMs, ReAct, Multi-Agent, MCP, A2A, RAGs and embedding models. Committed to code quality at every stage of the ML lifecycle, with experience designing and upholding CI/CD and end-to-end integration testing pipeline How You’ll Succeed: At Loblaw Digital, we seek great people to continually strengthen our culture. We believe great peopleShort Description: Job ID: R2000611369 Job Description: We are seeking a Staff Machine Learning Engineer to join our team, focusing on the design, development, deployment and testing of advanced AI systems and sophisticated search agents. This role involves leveraging ML and cutting-edge Agentic AI for building robust, enterprise-scale AI applications in the Retail and ecommerce vertical. You will be working on system designs and guiding developers cross functionally besides the hands-on development work. What You'll Do: Architect and build Agentic AI systems utilizing state of the art technologies and agentic patterns, like ReAct, MultiAgent, Hierarchical MultiAgent, to solve business problems. Own the tech stack and maintain the agentic ecosystem utilizing highly scalable, robust, and efficient cloud infrastructure using LangGraph and GCP services. Develop high-performance enterprise-level Machine Learning models and AI agents using Python code within a microservices architecture, ensuring solutions are scalable, reliable, and maintainable. Champion and lead best practices for MLE, MLOps and LLMOps cross functionally, including QA practices and full end-to-end test automation. Collaborate, document and work closely with product team, senior leadership and other staff engineers at Loblaw Digital to drive Agentic AI solutions, source data/APIs, establish requirements, and define success metrics. Take ownership and drive of full end-to-end AI systems, mentor other machine learning developers, and contribute to raising the technical bar within the entire team. Does This Sound Like You? Customer-First Mindset – Passion for building AI products that make people's lives easier and allow them to focus on what is important to them. Strong Collaboration – Excellent communication skills and ability to thrive in a cross-functional, collaborative, fast-paced environment. Problem-Solving Excellence – Analytical thinker who can identify, diagnose, and resolve complex technical challenges in production-ready ML pipelines. Automation-First Approach – You are always thinking about automation and are comfortable using AI for productivity. Adaptability & Innovation – Willingness to quickly learn new technologies, come up with PoCs, mentor others and continuously improve the system. Ownership & Initiative – Ability to take ownership of AI systems and track KPIs. Qualifications: Bachelor’s degree or equivalent in Computer Science or a related field alongside a strong foundation in AI and Agentic systems, with more than 5 years of hands-on experience building scalable AI products. Software engineering proficiency in Python with AI Design Patterns, and 2+ years experience designing and supporting enterprise applications within a microservices architecture. Proven experience running and supporting ML workloads on the cloud (preferably GCP) with containerization and workflow orchestration in dev and production environments. Proven experience in LangChain ecosystem or other Agentic frameworks, NLP, LLMs, ReAct, Multi-Agent, MCP, A2A, RAGs and embedding models. Committed to code quality at every stage of the ML lifecycle, with experience designing and upholding CI/CD and end-to-end integration testing pipeline How You’ll Succeed: At Loblaw Digital, we seek great people to continually strengthen our culture. We believe great people
