Top Tech Jobs & Startup Jobs in Vancouver

Build and deliver full-stack features powering AI agents embedded in HR and finance workflows. Own services from development through production, collaborate with ML and product teams, mentor teammates, and maintain high engineering standards for scalable, reliable SaaS systems.

Lead and grow a software engineering team building enterprise contract-management AI products. Partner with product, ML, and design to deliver scalable SaaS solutions, own platform performance and operations, recruit and mentor engineers, and drive AI initiatives (LLMs, agents, RAG) with strong devops, testing, and observability practices.

Design and build LLM- and ML-based document intelligence systems: entity extraction, entity resolution, and classification. Develop scalable ML pipelines, perform EDA, improve model accuracy and efficiency, and deploy production-grade models. Collaborate with engineers and product teams, write maintainable code, run experiments and benchmarks, and own features end-to-end.

Manage the vision, strategy, and roadmap for Contract Intelligence AI products. Collaborate with teams to define requirements and market strategies, ensuring delivery of generative AI solutions.

Lead engineering to build a unified platform for agent interactions with Workday Data Cloud, managing teams, and ensuring high-quality software delivery.

The role involves leading quality assurance by automating tests, enhancing platform scalability, mentoring SDETs, and collaborating with engineering teams on a SaaS contract management platform.

Lead a team of engineers developing the Agent Platform for AI agents. Responsibilities include roadmap execution, system design, best practices, and team development.

As a Senior Backend Software Engineer, you'll enhance the AI-driven contract management platform by collaborating with teams, optimizing code, and ensuring platform performance through API development and monitoring strategies.

The role involves designing, developing, and deploying scalable machine learning models and AI systems, focusing on end-to-end ownership of the ML lifecycle, collaborating cross-functionally, advocating for technical excellence, and mentoring junior engineers while championing Responsible AI practices.

The role involves managing a software engineering team, collaborating with product and design teams, and driving AI initiatives for contract management solutions.