Top AI Jobs in Ottawa

As a Sr. Software Engineer, you will develop AI systems, engineer backend technologies, and contribute to scaling our codebase while collaborating on product development.

The Software Development Manager leads a technical team, overseeing project design, technical solutions, and team development while actively coding and reviewing work.

Lead the AI-first engineering approach, design scalable software solutions, mentor junior engineers, and drive innovative AI features.

Lead the development and optimization of LLM-powered multi-agent systems for financial institutions, focusing on safe data interactions and improved AI models, while driving innovation in reinforcement learning and inference methods.

The Systems Developer is responsible for developing and supporting AI-driven application solutions while ensuring effective implementation across business units.

Lead the Perception engineering team, focusing on full-stack development, project management, and driving engineering excellence to support AI systems.

Join Welo Data's global contributor network to work on flexible, remote AI projects such as annotation, evaluation, and prompt creation, requiring Albanian fluency.

As a Forward Deployed AI Engineer, you'll lead customer engagement, provide technical support, create documentation, and work on product feedback while leveraging AI expertise.

Lead architect and development of AI-driven data infrastructures. Design data pipelines and systems for ML model training and semantic search capabilities.

Contribute to drug discovery and chemistry simulation platform development, collaborate with R&D teams, and build infrastructure for simulation and data platforms.

The Lead AI Graph Compiler Engineer will develop a scalable machine learning compiler using MLIR and LLVM while optimizing performance across various model architectures.

The Senior Software Engineer will design and optimize AI functionalities in products, collaborate on product development, and mentor team members, focusing on fullstack development.

As a Senior AI Engineer at ClickUp, you'll architect and implement AI platform services, integrate large language models, and ensure performance and reliability in production environments.

The Senior AI Engineer will develop AI-powered features, collaborate with cross-functional teams, ensure scalability, and mentor other engineers.

The Staff AI Engineer will design and build scalable AI platforms, apply LLMs for product features, manage AI models, and ensure high performance and security of AI services.

Lead the development of AI-powered features, collaborate cross-functionally, ensure reliability in production, and mentor other engineers.

The role involves managing large-scale unstructured data for ML systems, contributing to the entire product lifecycle, and building reliable system software.

Lead and grow a team focused on AI-driven developer tooling, define practices for AI adoption, and advocate for AI across the organization.

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

The Atlassian Site Administrator will manage and optimize Miovision's Atlassian tools, leveraging AI for automation and workflow enhancements, alongside overseeing SnapLogic integrations.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

Lead the design and implementation of data architectures for generative AI initiatives, collaborating with teams and establishing best practices.

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

Lead technical design and implementation projects for generative AI, mentor engineers, and ensure scalable backend systems for AI solutions.

Design and develop core data infrastructure for AI platform, focusing on scalable systems, database architecture, and high-throughput data management, enabling efficient data streaming for model training.