Lead Full-Stack GenAI Engineer at VAN5000VCSCU

Department: Individual Contributor

Language

Compensation

CA$125,000 – CA$169,100/yr

Setup: Remote
Location: Vancouver, British Columbia
Type: Full-time
Level: lead/mgmt
Posted: Aug 26, 2026

Description

Vancity is hiring a Lead Full-Stack GenAI Engineer to lead the end-to-end delivery of secure Generative AI and agentic AI solutions from discovery through production support. The role involves building Python services, APIs, RAG pipelines, agent workflows, React and TypeScript applications, enterprise integrations, CI/CD, observability, testing, and reusable engineering capabilities while providing hands-on code leadership and mentoring. It is a full-time permanent position based at Vancity head office, with hybrid work for candidates in British Columbia and remote work for candidates in Ontario, and offers a salary of $125,000 to $169,100 per annum.

Required Skills

Generative AI
Agentic AI
Python
React
TypeScript
RAG pipelines
Azure OpenAI
Databricks
SQL
CI/CD
Kubernetes

Additional Information

Minimum Education: Bachelor’s degree in computer science, Software Engineering, Data Science, Information Technology, or a related discipline, or equivalent education and relevant experience
Required Previous Experiences: At least 8 years of progressive experience in software engineering, full-stack development, machine learning engineering, or AI solution delivery
Recent hands-on experience building, integrating, deploying, and supporting production GenAI, RAG, agentic AI, or intelligent automation systems
Experience designing and implementing RAG pipelines, context engineering, structured generation, agentic workflows, secure tool integrations, and enterprise AI solutions
Experience integrating AI services with enterprise data, APIs, application systems, and workflow platforms
Experience leading technical delivery while remaining a substantial hands-on contributor, providing mentorship, and establishing engineering standards and best practices
Preferred Qualifications: Experience deploying Large Language Models, agent frameworks, and advanced Generative AI applications in enterprise environments
Experience with intelligent document processing, multimodal AI, high-volume document workflows, or human-in-the-loop reviewer solutions
Experience with Microsoft Foundry, Azure OpenAI, Azure AI Search, MLflow, Unity Catalog, and Databricks AI capabilities
Experience with enterprise API management, event-driven integration, workflow automation, and approved MCP-based tools or connectors
Experience implementing GenAIOps, LLMOps, AgentOps, or MLOps capabilities across multiple environments
Experience with containerization technologies, Kubernetes, cloud-native architectures, and platform engineering
Experience working in financial services, another regulated industry, or an environment handling sensitive information
Relevant certifications in Azure, Databricks, cloud architecture, AI engineering, security, DevOps, or software development disciplines