Description
As an AI Developer (LLM & Agentic Systems), you will design and develop AI-enabled applications and intelligent systems used in client-facing projects, supporting decision-making across mining, resources, infrastructure, and environmental domains.
You will build next-generation AI applications that combine Large Language Models (LLMs), structured data, and domain knowledge to enable advanced reasoning and support complex engineering and operational decisions.
Responsibilities:
- Design, build, and maintain scalable full-stack applications that integrate advanced AI and data capabilities.
- Develop backend APIs and cloud-native components that support scalable data and analytics workflows.
- Integrate LLMs, agentic workflows, and NLP techniques into production-ready systems.
- Contribute to the design and evolution of knowledge-based and data-driven platforms.
- Develop and integrate data pipelines and knowledge-driven components into applications.
- Collaborate closely with analytics, data science, knowledge engineering, and digital product teams.
- Work directly with internal teams and clients to translate requirements into scalable, production-ready solutions.
- Implement secure, maintainable, and testable code aligned with industry best practices.
- Support CI/CD, Git workflows, and DevOps automation.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related discipline.
- 5+ years of professional software development experience, including 2+ years leading the design, deployment, and scaling of LLM-based or agentic AI systems in production environments.
- Demonstrated experience designing end-to-end AI architectures, including data ingestion, retrieval, reasoning layers, and user-facing applications.
- Strong experience with LLM workflows, including prompt engineering, evaluation strategies, agent orchestration, and tool integration.
- Hands-on experience with embeddings, vector search, and RAG pipelines, including performance optimization and retrieval quality improvements.
- Proven ability to design and build scalable backend systems and APIs, including microservices architectures.
- Experience integrating structured and unstructured data into scalable AI applications.
- Experience applying NLP techniques in real-world applications.
- Strong experience with cloud-native development, including deployment, monitoring, and cost/performance optimization.
- Experience with DevOps practices, including CI/CD pipelines, Git workflows, and multi-environment deployments.
Nice to have: Experience with knowledge graphs and graph query languages, microservices, Docker/Kubernetes, ETL pipelines, or engineering-heavy data environments.
Benefits:
- Proudly Canadian – we are a Top 100 Employer in Canada for 2026.
- A global community of brilliant minds – your next idea, mentor, or opportunity is always within reach.
- Limitless opportunities start here.
- Flexible work, real balance – we recognize the importance of balance in our lives and encourage you to prioritize the balance in yours.
Compensation:
- $104,100 – $138,000 (AB, BC, NT, NU, SK & YT)
- $95,500 – $130,800 (MB & ON)
- $94,100 – $124,900 (NB, NL, NS, PEI & QC)