Lead AI Engineer - Copperleaf at IFS NORTH AMERICA INC

Vancouver, British Columbia, Canada -

Full Time

Start Date

Immediate

Expiry Date

21 Jan, 26

Salary

165000.0

Posted On

23 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Multi-Agent Systems, Machine Learning, Software Engineering, Python, Azure, Observability, Knowledge Graphs, Document Chunking, Embedding, Long-Term Memory, API Integration, Agile Development, Team Collaboration, Initiative, Creativity

Industry

Software Development

Description

Company Description IFS is a billion-dollar revenue company with 7000+ employees on all continents. We deliver award winning enterprise software solutions through the use of embedded digital innovation and a single cloud-based platform to help businesses be their best when it really matters–at the Moment of Service™. At IFS, we're flexible, we're innovative, and we're focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society's greatest challenges, fostering a better future through our agility, collaboration, and trust. We celebrate diversity and accept that there are so many different perspectives in this world. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view. By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world. We're looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. If you want to change the status quo, we'll help you make your moment. Join Team Purple. Join IFS. 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 LangChain, LangGraph, 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 MongoDB. 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. Additional Information What We’re Offering Salary Range: $135,000 - $165,000 CAD Flexible paid time off, including sick and holiday Flexible spending accounts Life insurance and disability benefits Tuition assistance Community involvement and volunteering events We believe that coming together as a community, in person, is important for innovation, connection and fostering a sense of belonging. Our roles have the right balance of remote and in-office working to enable flexibility for managing your life along with ensuring a real connection with your colleagues and the broader IFS community.

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Responsibilities

Design and build multi-agent systems that achieve complex objectives using various frameworks. Collaborate to integrate and deploy these systems into larger software stacks hosted in cloud infrastructure.