Lead AI Engineer - Copperleaf
Job in
Vancouver, BC, Canada
Listing for:
IFS
Full Time
position
Listed on 2026-01-12
Job specializations:
-
Software Development
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Software Engineer
Job Description & How to Apply Below
Job Description About the Role
We are looking for a Lead AI Engineer with a strong software engineering background and deep expertise in Generative AI to join our team. In this role, you will conceive, research, and develop Gen AI-powered multi-agent systems (MAS) for an enterprise SaaS product. The team operates in a fast-paced startup mode with regular stakeholder check-ins and dynamic objectives and you will work among other high-performing, high-initiative individuals.
What you’ll do:
Design and build multi-agent systems that plan, delegate, and reason to achieve complex objectives, using frameworks such as Lang Chain, Lang Graph, and Azure AI Foundry.Build retrieval-augmented generation (RAG) systems with techniques such as vector search, hybrid retrieval, knowledge graphs, re-ranking, document chunking, embedding, and long-term memory, using AI developer frameworks and technologies such as Azure AI Search, Neo4j, and Mongo
DB.Implement observability, evaluation, monitoring, and guardrails to maximize performance, quality, security, and robustness in Gen AI applications. These systems will reduce hallucinations and drift, mitigate the risk of attacks, ensure data-handling compliance, and maximize the relevance, reliability, and accuracy of system output.Inform architectural choices and technology selection.Stay current with new Gen AI technologies and frameworks, prompt techniques, tooling, and LLMs. Prototype new patterns and inform team direction.Collaborate to integrate and deploy these systems into larger software stacks via APIs and multi-tenant enterprise SaaS hosted in cloud infrastructure.Qualifications
What you’ll bring:
Bachelor’s degree in computer science, engineering, or a related field. (Master’s or PhD in Machine Learning, AI, or Data Science is a plus, but not required.)5+ years of software development experience, with at least 2 years focused on machine learning or AI engineering. Experience working in a fast-paced, dynamic startup or agile development environment is highly desirable. Ability to make trade-offs and deliver results quickly with limited resources.Practical experience with Gen AI technologies and expertise in Gen AI concepts. Solid understanding of different types of LLMs and Gen AI architectures, such as Mixture-of-Experts (MoE), embedding models, reasoning models, foundation models, and fine-tuned LLMs, among others. Proven track record of building and shipping Gen AI features—context engineering, evaluation, RAG, and multi-agent systems. Experience with observability, evaluation, and guardrails.Advanced programming skills in Python and experience with AI-powered IDEs or tools such as Cursor or Windsurf. Strong programming fundamentals and software engineering best practices, with proficiency in leveraging AI code-generation tools effectively and safely.Experience with Azure services and Git, or similar developer tools.A strong intuition for how people engage with agentic AI systems, combined with the creativity, passion, and innovative thinking needed to imagine and build new software experiences that truly meet user needs.Strong communication skills and the ability to work effectively in a team.Demonstrated ability to take initiative and lead projects.
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