
Job Overview
Location
Canada
Job Type
Full-time
Category
Backend Engineer
Date Posted
March 3, 2026
Full Job Description
đź“‹ Description
- • Join DataRobot, a leader in AI solutions that empower organizations to maximize impact and minimize business risk. Our innovative platform enables teams to develop, deliver, and govern AI at scale, integrating seamlessly into core business processes. DataRobot is at the forefront of delivering predictive and generative AI, ensuring leaders can secure their AI assets and make informed decisions for today and the future.
- • As a Senior Backend Engineer, you will play a pivotal role in shaping the customer experience for building, configuring, orchestrating, and monitoring AI-powered applications directly on the DataRobot platform. Your contributions will directly enhance the usability, reliability, and transparency of agent workflows and the overall application lifecycle management, empowering our customers to transition from concept to production with unprecedented speed and confidence.
- • This role demands close collaboration with cross-functional teams, including Product Management, User Experience (UX), Platform Engineering, and AI/ML specialists. You will translate customer feedback and identified pain points into intuitive and robust platform capabilities, making it significantly easier for users to manage, debug, scale, and trust their AI applications in production environments.
- • A key responsibility will be to improve the end-to-end user journey for creating, deploying, and operating AI applications. This encompasses everything from initial configuration and execution to ongoing monitoring and effective troubleshooting, ensuring a smooth and efficient workflow for our users.
- • You will be instrumental in developing MCP-compatible tool frameworks. These frameworks are designed to facilitate secure, observable, and reusable integrations, acting as the connective tissue between agents, diverse data sources, user interface components, and various backend services.
- • A significant part of your work will involve building sophisticated systems that provide crystal-clear visibility into the behavior of agents and tools. This includes delivering comprehensive insights through logs, metrics, tracing, error reporting, and advanced debugging tooling, enabling proactive issue identification and resolution.
- • You will actively participate in architectural discussions, contributing to the strategic direction of the application framework, its extensibility, and its long-term evolution. This involves considering how to build for the future while addressing current needs.
- • This role offers a unique opportunity to mentor junior engineers, sharing your expertise and guiding their development. You will also be a champion for best practices in API design, enhancing the overall developer experience, and ensuring the reliability of customer-facing features.
- • You will be tasked with balancing the need for flexibility and extensibility in our systems with the imperative of maintaining simplicity and ease of use, ensuring that new capabilities genuinely enhance the customer experience without introducing undue complexity.
- • Your work will directly impact the ability of our customers to leverage AI effectively, reducing the friction often associated with managing complex AI systems and accelerating their time-to-value.
- • We are looking for an engineer who can deeply reason about customer needs, navigate ambiguity with confidence, and make informed trade-offs between performance, usability, and reliability to deliver exceptional product experiences.
Skills & Technologies
About DataRobot, Inc.
DataRobot provides an enterprise AI platform that automates the end-to-end process for building, deploying, and managing machine-learning models at scale. Founded in 2012, the company serves industries including finance, healthcare, retail, and manufacturing, enabling data scientists and business analysts to create predictive analytics without deep coding expertise. The platform integrates with existing data infrastructure, offers governance and monitoring tools, and supports on-premise, cloud, and hybrid deployments. DataRobot emphasizes responsible AI practices and model interpretability to help organizations operationalize artificial intelligence while maintaining compliance and transparency.
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