Staff Software Developer, Machine Learning

Kinaxis Inc.•Remote,

17h•Hybrid

About The Position

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. 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!

Requirements

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.
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.
Extensive experience developing robust ML-driven systems with Python and modern data tooling.
Skilled in debugging, optimizing, testing, and delivering production-quality software.
Ability to guide architecture, mentor developers, and drive high-quality engineering decisions across teams.
Strong written and verbal communication skills suitable for both technical and non-technical audiences.
Operate as a technical advisor to managers/leaders.
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.
Bachelor’s degree or higher in Computer Science or a related field.
5-7 years of experience in software engineering, machine learning or related fields.

Nice To Haves

Experience with supply chain or manufacturing systems.
Solid grounding in algorithms, data structures, linear algebra, probability, and optimization.
Experience with tools such as Argo Workflows or similar.

Responsibilities

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.