Top AI Jobs in Vancouver

As an AI Engineer, you'll engage with customers to understand their needs, deploy AI models, and create scalable systems to enhance customer workflows.

As an Applied AI Engineer, you will develop autonomous AI systems for logistics, integrate multi-agent systems, and implement advanced reasoning and monitoring capabilities.

Design and implement advanced multi-agent AI systems for logistics, enhance automation, and oversee system performance and reliability.

This role involves building and maintaining diverse applications, collaborating on prototypes, integrating APIs, and ensuring functionality across the tech stack.

As an AI Content Creator, you will fine-tune generative models, collaborate with teams, and leverage advanced prompt engineering to create high-quality visual content.

As a software engineer, you will develop and manage components of data management software, focusing on AI infrastructure at scale. Responsibilities include overseeing product lifecycle and learning new technologies.

As an AI Engineer, you will design and scale AI solutions, develop ML pipelines, build intelligent products, and support MLOps efforts in a dynamic team.

Lead the development of autonomous AI systems using reinforcement learning and LLMs, focusing on customer interaction optimization and collaboration with engineering and product teams.

The role focuses on optimizing and accelerating machine learning models for embedded hardware, involving custom kernel development and collaboration with engineers.

Design and implement deep learning algorithms in C++ or Python for computer vision applications in robotics. Collaborate on data analytics and ML pipelines.

We are looking for a Fullstack Developer with experience in web projects, LLMs, and AI integration. The role involves collaboration on innovative projects, creativity, and adaptability in problem-solving.

The Senior Data & AI Specialist designs, develops, and deploys AI models, collaborates across teams, and drives predictive analytics to enhance business performance.

As a software engineer, you'll develop end-to-end data analytics and ML solutions, working with open-source tools and collaborating remotely with global teams.

The AI/ML Specialist Solutions Architect will design scalable AI solutions, build customer relationships, deliver technical presentations, and collaborate with engineering teams to prioritize feedback.

As an Applied AI Engineer at Warp, you'll design and deploy predictive AI features, enhance code generation, and optimize AI models to improve developer interactions and effectiveness within their environment.

As an Entry-Level Full Stack AI Engineer, you will collaborate to design and implement AI features, evaluate models, and develop user experiences with modern technologies.

Lead development of AI-powered product features, establish AI architecture, partner with teams for customer-facing features, and create reusable patterns and tooling for AI feature development.