Software Engineer Co-Op

Giffen Consulting•Vancouver, BC

1d•Hybrid

About The Position

Giffen Consulting Ltd. (Giffen) is looking to hire a Software Engineer Co-Op with experience in AI & Technology Integration to join the team at our Vancouver office. This is a hybrid work arrangement with a minimum of 3 days per week in the office. Giffen is a Canadian company with offices in Vancouver, BC, and Toronto, ON. that provides fit-for-purpose engineering and project delivery solutions, specializing in the mining, utility, and heavy industrial sectors. At Giffen, we take pride in our ability to deliver flexible strategies that are tailored to the specific needs of our clients. We value relationships above all else – within our team and with our clients. We hold our team to the highest level of accountability to ensure we provide tailored solutions to successfully execute our clients’ projects. We believe that open communication is the key to fostering reliable and lasting relationships within our company and those with whom we conduct business.

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).
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.

Nice To Haves

Experience with Engineering, Mining, and/or Heavy Industry is considered an asset.
Interest in or exposure to engineering, heavy industry, or industrial sectors is considered a strong asset.

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.