Key Learning Opportunities & Responsibilities
- Application Development (Frontend & Backend)
- Assist in designing, developing, and maintaining scalable web applications using modern technologies like React.js, Node.js, and Python.
- Continue developing and improving our current internal applications (frontend & backend), focusing on stability, usability, and maintainability.
- Enhance existing user interfaces based on user feedback, ensuring responsive design and improved user experience.
- Integrate AI features into existing applications where relevant and connect the frontend with backend services with approved third-party APIs.
- Automation & Robotic Process Automation (RPA)
- Identify and prioritize repetitive weekly tasks across teams that can be eliminated or simplified through automation.
- Design, build, and enhance Robotic Process Automation (RPA) solutions using platforms such as Power Automate, n8n, and custom scripts (Python/Node.js), with the goal of reducing manual effort and increasing reliability.
- Assist in integrating automated workflows with existing business systems.
- Learn to monitor automation performance, troubleshoot issues, and optimize for reliability.
- Artificial Intelligence (AI) Integration
- Develop AI “buddy” agents that support each staff member with day-to-day work.
- Evaluate and prototype agent frameworks and tools (e.g., OpenAI API, LangChain, Microsoft Copilot Studio, OpenClaw or similar) while ensuring data privacy, access control, and compliance with company policies.
- Assist in developing AI-powered tools and applications using platforms like the OpenAI API, LangChain, and Microsoft Copilot Studio to enhance decision-making and operational workflows.
- Explore and recommend Microsoft ecosystem tools that can uplift productivity (e.g., Power Platform, Copilot for Microsoft 365, SharePoint/Teams automation, and where relevant Dynamics 365 or other Microsoft solutions), including quick proofs of concept and adoption guides.
- Work closely to identify impactful, budget-conscious AI use cases that drive measurable improvements.
Qualifications & Experience
- Currently pursuing a Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field.
- A portfolio (e.g., GitHub, personal website) showcasing relevant projects in automation, AI, or full-stack development is encouraged.
- Familiarity with web application development (frontend and backend) and integrating APIs/services into existing systems.
- Interest and/or exposure to workflow automation and RPA (e.g., Power Automate, scripting, or similar tools).
- Enjoy experimenting with new technologies.
- Good understanding of AI/LLM concepts; exposure to AI APIs, agent frameworks (e.g., LangChain/Copilot Studio), or prompt engineering is a strong advantage.
- Familiarity with Microsoft productivity/automation tools (e.g., Power Platform, Copilot for Microsoft 365, SharePoint/Teams) is a plus; Dynamics 365 exposure is an advantage.
