Staff Software Developer, AI/ML

About Kinaxis

About Kinaxis

Elevate your career journey by embracing a new challenge with Kinaxis. We are experts in tech, but it’s really our people who give us passion to always seek ways to do things better. As such, we’re serious about your career growth and professional development, because People matter at Kinaxis.

In 1984, we started out as a team of three engineers. Today, we have grown to become a global organization with over 2000 employees around the world, with a brand-new HQ based in Kanata North in Ottawa. As one of Canada’s Top Employers, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today.

At Kinaxis, we power the world’s supply chains to help preserve the planet’s resources and enrich the human experience. As a global leader in end-to-end supply chain management, we enable supply chain excellence for all industries, with more than 40,000 users in over 100 countries. We are expanding our team as we continue to innovate and revolutionize how we support our customers.

About the team

Location

our offices in Ottawa and Toronto (Hybrid)

About the team

The AI team is responsible for delivering machine learning solutions in the supply and demand space for

verticals such as Retail, Consumer Packaged Goods, Life Sciences etc.

This includes problems in the space of forecasting, optimization, replenishment, recommendation,

explainability, and more. The uniqueness of the team is that it performs at the intersection of technology and

real business problems. You will contribute to the product that delights customers world-wide!

Kinaxis is seeking a talented and passionate Machine Learning Staff Developer to join our Machine Learning

team. Your work will directly impact our enterprise-grade AI software platform and solutions, which are used

by hundreds of customers worldwide to manage their supply chains.

About the role

Vacancy Status

This is an existing job vacancy

What you will do

All aspects of the machine learning software development life cycle are familiar to you. You are passionate about shipping large-scale software systems in a fast-paced environment, but you can balance longer term issues such as maintainability, scalability and quality. You’re fluent in Python object-oriented development and in the cloud. In addition to working with modern data storage, familiarity with Kubernetes, docker and have hands-on experience with big data technologies.

You have the ability and enthusiasm to learn new technologies whether they are infrastructure language or platform and easily adapt to change. You will define, drive, design, and build/ship end-to-end solutions that not only solve real customer problems but also create automated ML-based solutions to orchestrate our customers’ supply chains, including architectural design, relevant design documentation, test planning and execution.

You will contribute to the end-to-end AI/ML software development lifecycle, ensuring reproducible research and state-of-the-art results for our customers. You will drive architecture, design, and delivery of advanced ML systems in the Product R&D team. Oversee the work of junior developers and actively engage team members to develop their skills and build shared ownership across the code base. Proactively engages outside of team to unblock other team members while progressing their own technical assignments.

What we are looking for

• Cloud & Managed Services Engineering: Proven expertise in designing, provisioning, deploying, and operating large-scale systems on AWS, Azure or GCP. Strong hands-on experience with Docker, Kubernetes (managed via Argo CD, Helm, or similar), infrastructure automation using Terraform, and distributed systems.
• Agentic & Modern AI Frameworks: Practical experience building solutions using agentic AI patterns, RAG, vector databases, and orchestration frameworks like LangGraph/Google ADK/OpenAI Agent SDK, including prompt engineering and context engineering for production of the agentic workflows.
• End-to-End ML/AI Software Development: Extensive experience developing robust ML-driven systems with Python and modern data tooling. Skilled in debugging, optimizing, testing, and delivering production-quality software.
• Technical Leadership & Collaboration: Ability to guide architecture, mentor developers, and drive high-quality engineering decisions across teams.
• Technical Communication: Strong written and verbal communication skills suitable for both technical and non-technical audiences. Operate as a technical advisor to managers/leaders.
• AI Driven Software Development: Experience in leveraging agentic software development tools - such as GitHub Copilot, Claude Code or other autonomous agents - to accelerate delivery of new features and resolution of issues.
• Education: Bachelor’s degree or higher in Computer Science or a related field.
• Experience: 5-7 years of experience in software engineering, machi