Top AI Jobs in Calgary

Help train large-language models to write production-grade code by comparing, ranking, repairing, and refactoring AI-generated code, while providing feedback for reinforcement learning.

As an AI Software Engineer, you'll help train large-language models in Rust by comparing code snippets, repairing AI-generated code, and providing feedback to enhance model learning.

This role involves training large language models to improve code through evaluation and feedback, focusing on correctness, efficiency, and communication.

Join our team to help train large-language models by evaluating and improving AI-generated code, leveraging your coding and communication skills.

The role involves training large-language models by evaluating and refining code snippets, providing feedback, and maintaining an RLHF pipeline. Candidates need strong Python skills and code review expertise.

The Full Stack Software Engineer will develop user-facing features and back-end infrastructure for autonomous AI agents, ensuring performance and usability.

The AI Engineer will design and implement intelligent agent architectures, supervise technical solutions, and collaborate with multiple teams to address business needs.

Design and implement AI Flywheel for continuous learning of autonomous trucks, manage distributed training pipelines, and ensure scalable AI infrastructure.

Lead the strategy for AI-first experiences at Firefox, collaborating across teams to deliver user-centric products and drive business growth.

The Director of Conversational AI Agents leads the development of AI solutions, manages a team, drives innovation, and engages with clients to enhance customer experiences.

Lead technical strategy for Physical AI and robotics, engaging with customers to solve complex challenges and support platform development. Drive internal alignment across teams and develop solutions for enterprise needs.

The intern will assist in managing messaging platforms, develop AI agents, optimize tools, support users, and analyze usage trends.

This role involves leading enterprise clients in enhancing their Microsoft 365 collaboration using AI technologies, while also ensuring security and compliance. The consultant will architect, implement, and govern solutions such as SharePoint Online and manage AI integration.

The Sales Executive for Hyperscalers & AI is responsible for developing strategic relationships, driving revenue growth, and closing large-scale sales opportunities in the hyperscaler and AI sectors.

Develop AI-powered solutions using Azure services, design retrieval-based architectures, and collaborate on advanced AI systems while mentoring other developers.

Develop and implement predictive AI features to enhance user experiences, including natural language understanding and personalized AI agents for software development.

The Sales Strategy and Operations Manager leads complex sales opportunities, develops ROI models, engages executives, and coordinates cross-functional input for compelling proposals.

Develop and maintain web interfaces, validate AI-generated code, provide UI/UX feedback, and follow project guidelines in a remote setting.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

As an AI Product Manager, you'll own the AI product roadmap, prioritize customer feedback, partner with engineering, and drive data-informed decisions to enhance product quality.

Lead the definition and rollout of AI-powered product features, collaborating with teams to enhance fraud prevention solutions.

As a Technical Product Manager, you will lead the development of AI-driven products, coordinate cross-department teams, and ensure product success through stakeholder alignment and data-informed decision-making.

The Senior Product Manager will lead AI contract intelligence solutions, driving product vision, adoption metrics, and cross-functional collaboration to enhance customer value.

The Senior Software Engineer, AI Automations will build and own internal systems for automating business workflows across various functions such as HR, Finance, and Operations, utilizing modern tooling and APIs.

Design and build machine learning infrastructure for real-time video processing and model training, collaborating with research scientists on AI advancements.