LEGO Education

QA Automation Engineer

• Identify manual, repetitive, or error-prone workflows across departments and assess automation potential (AI-based or otherwise)
• Design and build AI-powered automations using LLMs, agents, and scripting to reduce manual effort
• Integrate AI capabilities into existing business tools and systems (HR, finance, etc.)
• Build and maintain pipelines connecting AI models to internal data sources and third-party APIs
• Prototype quickly, validate with stakeholders, then productionize successful automations
• Monitor deployed automations for reliability, cost, and output quality - iterate as needed
• Document workflows, decision logic, and system architecture for maintainability
• Partner with business stakeholders to translate operational pain points into technical requirements
• Evaluate and recommend AI solutions, models, and vendors (build vs. buy decisions)
• Establish guardrails around AI-driven processes (error handling, human-in-the-loop checkpoints, audit trails)

AI Automation Engineer

Backend Engineer

• Collaborate with other team members to establish objectives and design functional, scalable and maintainable backend solutions that enhance the user experience
• Develop ideas for new programs, products and features by monitoring industry developments, emerging technologies and AI advancements
• Build reusable code, libraries and services for future use
• Develop and maintain RESTful APIs and backend services
• Write high-performance, secure and scalable code
• Implement security, data protection and best software engineering practices
• Liaise with developers, designers and system administrators to identify and implement new features
• Leverage AI-assisted development tools (e.g. GitHub Copilot, ChatGPT, Claude or similar) to improve productivity, accelerate development, assist with debugging, documentation and code generation while ensuring the quality, security and maintainability of all deliverables
• Evaluate, validate and critically review AI-generated code and technical solutions, ensuring compliance with coding standards, security requirements and business needs
• Continuously evaluate and adopt emerging technologies, including AI-powered development practices, to improve engineering efficiency and software quality

AI Automation Engineer

Back End Developer