Keenfinity
Technology
AIDrivenSoftwareEngineeringIntern
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“AI Driven Software Engineering Intern at Keenfinity”
Industry & Context.
Full Job Description
At Keenfinity, we are a globally leading provider of innovative and professional security and communication solutions. With over 4,200 employees in over 50 countries worldwide, our ambition is clear: we offer more than just technology – we secure, connect, and amplify the moments that matter in life. Next to our passion for technology we’re very passionate about our work environment. Based on values such as trust, appreciation, and accountability we all work together to shape the future – boldly, customer-focused and with a strong team spirit. The role: * Develop high‑quality software code and participate in peer reviews through pull requests * Apply secure coding principles and responsible AI practices throughout the development lifecycle * Analyze logs, metrics, traces, and system behavior to identify patterns, issues, and improvement opportunities * Contribute to technical documentation , internal knowledge bases, and engineering guidelines * Collaborate closely with software engineers, testers, and architects in a cross‑functional team environment * Actively participate in Agile ceremonies , including sprint planning, daily stand‑ups, and technical retrospectives * Proactively learn and apply new tools, frameworks, and engineering best practices * Clearly communicate technical concepts, trade‑offs, and results to both technical and non‑technical stakeholders ## Qualifications Requirements: We are looking for a student who demonstrates an open and proactive attitude, with a strong ability to take initiative. You can effectively prioritize multiple tasks and maintain a high level of organization. Additionally, you bring the following: * Proficiency in English, both written and spoken (Dutch is not required) * Currently pursuing a degree in Computer Science or a related field * Working knowledge of programming languages such as C# and Python * Good understanding of AI-related concepts (e.g. AI agents, MCP, Retrieval-Augmented Generation (RAG), LLM APIs, or prompt e
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