Top AI Jobs in Ottawa

Manage a team of engineers, oversee project execution, partner with Product Managers, ensure high-quality software and Agile practices, and drive AI integration efforts.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

As a Staff AI Engineer, you'll design and implement AI systems, develop APIs, and mentor engineers, collaborating with teams for impactful automation in advertising.

The Applied AI Engineer will develop AI-powered solutions, architect backend systems, integrate AI services, and collaborate with cross-functional teams to enhance business capabilities.

The Senior Security Engineer will establish security frameworks for AI initiatives, manage non-human identities, and collaborate with cross-functional teams to ensure secure AI adoption across GitLab's internal tools.

Manage a team of AI engineers in developing AI-powered features, collaborating with various stakeholders while also contributing hands-on to the codebase.

As a Senior Engineer at 8am, you will design and implement AI features, collaborate with teams, and develop tools for AI deployment.

The software engineer will design and deploy AI-powered automation, enhance user experience, and implement LLM-backed features in collaboration with teams.

As a QA Annotator, you'll review data, ensure quality of annotations, label content, and flag inaccuracies for AI projects.

The Senior Software Engineer will build core services and SDKs for production-grade systems, lead projects enhancing tools, and collaborate cross-functionally.

Contribute to fullstack features using JavaScript, Ruby, and Python, collaborating with teams for development, bug fixes, and performance enhancement.

As a Senior Software Engineer, you will evaluate AI-generated code, solve coding problems, and write robust test cases to enhance AI models.

As a Software Developer, you will design and develop data pipelines for AI solutions, collaborating with teams on scalable distributed systems and ensuring software quality through tests and reviews.

The Platform Engineer will enhance systems supporting AI Inference products, manage cloud services, and promote technical excellence within the team.

As a Senior AI Applied engineer, you'll shape Vanta's AI strategy, improve systems, and collaborate with teams to implement and maintain AI infrastructure and tools, focusing on leveraging LLM models for enhanced products.

As a senior backend engineer, design and develop APIs and data models for AI-driven marketing content, collaborating with product and design to enhance user experiences.

The role involves building end-to-end distributed LLM inference deployments, collaborating on features, and developing scalable ML infrastructure tools.

As an AI Product Engineer, you will develop and deploy AI-driven software solutions, collaborate with customers, and optimize applications for real-world impacts.

The Senior Backend Engineer will develop 3D AutoReview features, manage pipeline architecture, collaborate with teams, and maintain high technical standards in backend development.

Develop and maintain AI-driven product experiences within a SaaS platform, collaborating with cross-functional teams and mentoring other engineers.

This internship opportunity is for students in computer engineering or AI to work on distributed systems at Bedrock Security.

As a Senior Software Developer for AI Infrastructure, you'll design and implement infrastructure-as-code, manage Kubernetes configurations, and optimize backend systems while collaborating with AI teams to enhance ML-powered tools.

Design and develop scalable data infrastructure for AI platform, optimize database performance, create data pipelines, and mentor junior engineers while collaborating across teams.

The Research Engineer will develop the DeOS framework, optimizing AI workloads, managing GPU resources, ensuring scalability, and contributing to open-source projects.

As a Software Developer, you will create training data for AI models, audit tool usage, write test cases, and improve technical outputs. No prior AI experience is necessary, but coding skills are critical.