Top Tech Jobs & Startup Jobs in Vancouver

The role involves architecting AI solutions, optimizing ML systems, and deploying advanced retrieval frameworks. Engineers will lead ML lifecycle from research to production, collaborating across teams to build AI-first products.

Lead cross-functional teams to build and operate AI-powered HR and finance agents integrated into the Workday platform. Own design, development, production operations, mentor engineers, and implement scalable, observable SaaS solutions using modern full-stack and cloud technologies.

Manage a portfolio of customers to drive CLM (Evisort) adoption and value realization. Design success plans, lead strategic engagements, use usage data to measure outcomes, collaborate cross-functionally, deliver executive briefings, and scale repeatable Specialized CS motions to improve retention and advocacy.

As a Full Stack Software Engineer, you will develop and deliver full stack features for AI agents integrated into HR and financial workflows, collaborating within a cross-functional team to ensure quality and performance from development to production.

Design, implement, and productionize ML solutions (LLMs, RAG, retrieval/graph-based systems) for HR and finance text data. Build scalable pipelines, model hosting services and APIs using Docker/Kubernetes and cloud platforms. Ensure evaluation, observability, and scalability, stay current with AI advances, and mentor junior engineers.

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.

Build and maintain front-end features for an AI-driven contract management SaaS. Collaborate with engineers, data scientists, product, and design; own functional areas from development to production; mentor teammates; apply modern dev practices to deliver scalable, user-centric solutions.

Build and ship full-stack features that power AI agents across HR and Finance workflows. Own services end-to-end from development through production, collaborate with ML engineers and product teams, mentor teammates, and maintain strong engineering practices for scalable, reliable SaaS systems.

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.

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.