Software Developer designing and maintaining Java - based scanning and image - processing products at Ricoh. Collaborating with global teams on scalable solutions for Americas customers.
About the role
- 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.
- Host company-wide social events.
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