Software Engineer Co-Op focusing on AI and Technology Integration at Giffen Consulting Ltd. in Vancouver, providing engineering and project delivery solutions in industrial sectors.
Responsibilities
Research, evaluate, and prototype AI tools and large language model (LLM) integrations that can improve engineering workflows, project reporting, and document management.
Assist in piloting AI-powered tools for common engineering tasks such as drafting technical reports, summarizing meeting notes, extracting data from drawings and specifications, and organizing project documentation.
Work alongside engineers and project managers to understand day-to-day workflows and identify opportunities where AI can be appropriately leveraged.
Collaborate with engineers and project managers to identify pain points in current workflows and propose AI-driven solutions tailored to mining, utility, and heavy industrial project delivery.
Support the integration of AI tools with existing software platforms used by the firm (e.g., document management systems, project controls software, CAD/BIM tools).
Help build simple proof-of-concept automations or integrations that demonstrate how AI can fit into existing tools and processes used by the firm.
Ensure all AI solutions align with data security, confidentiality, and professional engineering standards relevant to the firm's project work.
Requirements
Currently enrolled in, and in good standing with, a co-op program in Computer Science, Software Engineering, Data Science, or a related technical discipline.
Hands-on experience or academic coursework involving machine learning, natural language processing, or applied AI (e.g., LLM APIs, prompt engineering, RAG pipelines).
Experience with Engineering, Mining, and/or Heavy Industry is considered an asset.
Strong analytical and problem-solving skills with the ability to translate ambiguous business problems into technical solutions.
Excellent written and verbal communication skills; ability to explain technical concepts to non-technical engineering staff.
Self-motivated and eager to learn in a fast-paced, professional engineering environment.
Interest in or exposure to engineering, heavy industry, or industrial sectors is considered a strong asset.
Benefits
Encourage continual learning through courses and conferences.
Support professional designation certification.
Connect through monthly, continuous performance management meetings.
Invest in our people through a variety of corporate programs.
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