Staff Software Developer, AI/ML
Kinaxis
Staff Software Developer, AI/ML
- Category
- Engineering
- Position Type
- Full-Time
- Remote
- No
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.
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.
Vacancy Status
This is an existing job vacancy
What you will do
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.
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, machine learning or related fields.
Nice to Have
- Domain Knowledge: Experience with supply chain or manufacturing systems.
- Strong CS Foundations: Solid grounding in algorithms, data structures, linear algebra, probability, and optimization.
- Workflow Orchestration: Experience with tools such as Argo Workflows or similar.
Work With Impact: Our platform directly helps companies power the world’s supply chains. We see the results of what we do out in the world every day—when we see store shelves stocked, when medications are available for our loved ones, and so much more.
Work with Fortune 500 Brands: Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Lockheed Martin, Yamaha, P&G, Honda, and more.
Social Responsibility at Kinaxis: Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices, talent assessment training materials, and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we’re committed to net-zero operations strategy for the long term. We are involved in our communities and support causes where we can make the most impact.
People matter at Kinaxis and these are some of the perks and benefits we created for our team:
- Flexible vacation and Kinaxis Days (company-wide day off on the last Friday of every month)
- Flexible work options
- Physical and mental well-being programs
- Regularly scheduled virtual fitness classes
- Mentorship programs and training and career development
- Recognition programs and referral rewards
- Hackathons
Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities. If you require an accommodation, please reach out to us at recruitmentprograms@kinaxis.com. Please note that this contact information is strictly for accessibility requests and cannot be used to inquire about application statuses.
Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description, to identify candidates whose education, experience and skills most closely match the requirements of the role. After the initial screening, all subsequent decisions regarding your application, including final selection, are made by our human recruitment team. AI does not make any final hiring decisions.
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