As of November 9, 2026, Jobsy lists 15 ai engineer jobs in Vancouver, BC. The most active employers are Triunity Software, Urban Ridge Supplies and Miratech. Skills often requested: python, ml, microsoft azure and aws.
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4+ YOECandidates need 4 to 7+ years of software engineering experience with a strong backend background, and hands-on experience shipping LLM-powered features and agents in production. They also need experience building LLM evaluations, working ML knowledge, and comfort with ambiguity.
Workday, Inc.: Workday is a leading provider of enterprise cloud applications for finance and human resources, helping customers adapt and thrive in a changing…
8+ YOECandidates need 8+ years of software engineering and 2+ years integrating LLMs and AI APIs into user-facing products, plus 1+ years evaluating agents. Strong communication, mentoring, and governance and security knowledge for enterprise agents are also needed.
Workday, Inc.: Workday is a leading provider of enterprise cloud applications for finance and human resources, helping customers adapt and thrive in a changing…
7+ YOECandidates need 7+ years building applied machine learning products at scale, 3+ years with PyTorch or TensorFlow, and 4+ years hosting models in production on cloud platforms such as AWS or GCP. They also need 2+ years working with large language models and a track record of leading ML engineering teams; a Bachelor's is required, with a Master's or PhD preferred.
Workday, Inc.: Workday is a leading provider of enterprise cloud applications for finance and human resources, helping customers adapt and thrive in a changing…
5+ YOECandidates need 5+ years building applied machine learning products at scale, 3+ years hosting ML models in production, and 1+ years working with large language models. They also need deep learning framework experience (PyTorch or TensorFlow), cloud platform experience, and a bachelor's degree (master's or PhD preferred).
Workday, Inc.: Workday is a leading provider of enterprise cloud applications for finance and human resources, helping customers adapt and thrive in a changing…
8+ YOEWorkday needs candidates with 8+ years of software engineering experience, including backend and distributed systems at scale, plus 3+ years integrating AI into enterprise products. Experience with cloud platforms, containers, and AI orchestration frameworks is required, along with a bachelor's degree in computer science or a related field.
Candidates need a Bachelor's or Master's degree in a technical field, or equivalent experience, plus hands-on skills in Python, PySpark, SQL, big data processing and machine learning, as well as MLOps knowledge.
Mastercard needs candidates with hands-on experience building agentic systems in production, plus Python, SQL and generative AI skills. Experience deploying models, working with cloud environments and collaborating across data science and engineering teams is also required.
Candidates need a Bachelor's or Master's in a computing or data field, or equivalent experience. They need hands-on skills in Python, PySpark, SQL, Databricks, Airflow and Hadoop, plus knowledge of machine learning and MLOps practices.
8+ YOEMiratech needs 8+ years of Python and enterprise application development, 2+ years each with LangGraph and LangChain, and production experience with generative AI and conversational AI. Strong agentic AI knowledge, testing and Agile experience, and good communication skills are also expected.
Remarcable, Inc.: With integrations to over 400 suppliers and 25 software systems, Remarcable simplifies purchasing and financial processes, reduces manual work, and…
4+ YOERemarcable needs 4+ years of software engineering experience, with 1-2 years shipping LLM or machine learning features. Candidates need strong Python, LLM API, RAG, embeddings and vector database skills, plus solid SQL and cloud experience.
1+ YOECandidates need a bachelor's degree or higher in computer science, mathematics, statistics or a related field, plus at least one year of AI/ML work focused on generative AI. They must know LLM application concepts and Python with PyTorch or TensorFlow, and be eligible to work in Canada.
3+ YOECandidates need a bachelor's degree or higher in a related field and 3+ years of AI/ML engineering experience with generative AI. They also need strong Python, PyTorch or TensorFlow skills, and experience with LLM application development.
Candidates need shipped production LLM applications, hands-on context engineering and multi-provider model experience. They also need evaluation harness experience, expert agentic coding skills and proven team leadership.
Candidates need strong React, Next.js and TypeScript skills, plus backend experience with APIs and real-load systems. Applied AI experience such as RAG, tool calling, memory or multi-agent systems shipped to real users is needed for full stack roles.
Candidates need a bachelor's degree or equivalent practical experience, plus hands-on experience building agentic AI systems and working with generative AI and LLMs. They also need strong Python and SQL skills, experience deploying models to production, and experience with cloud environments and distributed data tools such as Databricks or Spark.