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Support the design and development of AI agent workflows and LLM-powered application components. Use AI coding tools as a normal part of your workflow to……
A global leader in applied safety science, UL Solutions (NYSE: ULS) transforms safety, security and sustainability challenges into opportunities for customers……
Past internship or job experience in a software development role. With mentorship throughout your internship, you'll contribute to real production systems and……
High degree of computer literacy and previous programming experience required; prior experience using statistical software such as SAS, R, and Python preferred.…
High degree of computer literacy and previous programming experience required; prior experience using statistical software such as SAS, R, and Python preferred.…
Support ongoing improvements to ensure sustainability and further development of AI-enabled workflows. Catalog and document existing IDQ data sources across R&D……
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Explore AI‑assisted development practices: Experiment with prompt‑driven “vibe coding” and modern AI tools to support efficient software development and……
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Manulife Technology Industrial Placement Program 2026 - Full-time (Jul-Dec). Currently majoring in Information Technology, Computer Science, or other related……
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Experience with statistical software such as R, Python, etc. Commit to 5 to 6 months of full-time engagement (5-day work week). 1 day paid leave per month.…
Application Prototyping: Use advanced generative development environments to transform natural language requirements into functional internal tools, customer portals, and property management dashboards.
Agentic Workflow Design: Orchestrate autonomous coding agents to handle software architecture—from database schema design and backend logic to frontend interface styling.
Strategic Oversight: Act as the "Human-in-the-Loop," auditing machine-generated code for security, logic.
Technical Documentation & Lineage: Maintain comprehensive records of prompt chains and logic flows used to generate applications.
Create clear system architecture maps and API documentation for all AI-generated features.
Ensure all automated workflows are documented for future maintenance, focusing on "Why" a feature exists as much as "How" it works.
Requirements
Education: Pursuing a degree in Computer Science, Information Systems, or a related technical field. We prioritize candidates who understand software logic and system architecture over syntax memorization.
AI-Native Mindset: * Mastery of prompt engineering and the ability to guide large-scale models through complex multi-step reasoning.
Experience with natural-language-to-code platforms and browser-based development environments.
Ability to read, debug, and optimize code across multiple languages (e.g., Python, JavaScript) generated by autonomous tools.
Critical Thinking: Strong skills in task decomposition—the ability to break a business problem into technical instructions that a machine can execute.
Languages: Good command of written and spoken English and Chinese.