Top AI Jobs in Calgary

Join the Perception team at Labelbox as a Senior Fullstack Engineer, responsible for developing annotation tools for cutting-edge AI systems. Collaborate with engineers and designers to build scalable systems and innovative components. Solve complex technical challenges, address customer inquiries, and drive process improvements within the engineering team. Must have 5+ years of full-stack engineering experience with expertise in Typescript, Node.js, GraphQL, Python, Kubernetes, and GCP.

This role involves leading the development of AI/ML technologies and platforms, designing architecture, implementing infrastructure, collaborating with various teams, managing project roadmaps, and driving the technical vision and strategy of AI/ML within the organization. Additionally, it encompasses mentoring engineering teams and ensuring continuous improvement in quality, security, and performance metrics.

As a Senior AI Engineer, you will develop prototypes and microservices, create MLOps pipelines, automate processes, and support AI workshops. Collaborating closely with teams, you will implement AI-driven solutions to improve business workflows.

The AI Solutions Consultant will work closely with the sales team, guiding clients on utilizing AI Decisioning effectively, and developing technical content. Responsibilities include understanding customer pain points, executing technical projects, and advocating for customer needs within the company.

The Software Engineer will be responsible for developing large new areas within data management software, handling the entire product lifecycle, and ensuring high reliability of system software. This role demands experience with AI infrastructure at scale and solid Python knowledge. Multi-tasking and quick adaptation to new technologies are essential.

In this role, you will develop tech roadmaps for Large Language Models, focusing on LLM deployment and integration into AI products. Responsibilities include designing and optimizing LLM-based systems, fine-tuning models, and integrating with Agentic platforms. You will work with cross-functional teams to drive AI initiatives aligned with business objectives.

The AI Research Engineer will contribute to the development of AI capabilities within the answer engine, focusing on optimizing LLMs through innovative prompting and training. The role involves collaboration with product engineers to enhance user experience and deliver accurate responses.

The AI Research Engineer will enhance the performance of the Sonar models using supervised and reinforcement learning. Responsibilities include managing data, training, and evaluation pipelines, and integrating models with engineering teams to deliver state-of-the-art query answering capabilities.