01 set - Milano
TLWC | The Leading Women Circle
Company Description TLWC | The Leading Women Circle is an exclusive international networking community that connects influential leaders across the luxury industry. Founded by Marina Montalto, TLWC brings together executives, entrepreneurs, and thought leaders to enable authentic connections and shared experiences. The community curates intimate events across Europe and the UAE, offering members opportunities to exchange insights and support professional and personal growth. TLWC is built on the belief that genuine dialogue and meaningful human connections are among the greatest luxuries in today’s hyper-connected world.
Role Description The AI Automation & Systems Developer – Tempo parziale role focuses on designing, building, and maintaining AI-driven tools and systems that support TLWC’s operations and member experience. This is a full-time, on-site position based in Milan, working closely with the team to automate workflows, integrate platforms, and improve data consistency across internal systems. Day-to-day responsibilities include developing and testing software components,
implementing AI-driven automation solutions, managing database interactions, and ensuring system reliability and security. The role also involves collaborating with stakeholders to understand business needs, translating them into technical requirements, and continuously optimizing tools and processes to support events, communications, and member engagement.
Qualifications
Strong skills in System Development and Software Development to design, implement, and maintain scalable solutions.
Proficiency in Programming (e.g., Python, JavaScript, or similar languages) for building AI automation workflows and integrations.
Experience working with Databases (SQL and/or NoSQL) for data modeling, queries, and performance optimization.
Competence in Testing, including unit, integration, and regression testing, to ensure system reliability and quality.
Background or interest in AI automation, APIs, and low
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