Fullstack Engineering - LUNARTECH - Paris
LunarTech is a leading AI and Data Science company, dedicated to empowering professionals and organizations to integrate AI and Data Science into their operations. By offering cutting-edge education, corporate training, and custom AI solutions, LunarTech enables businesses to drive innovation, enhance efficiency, and stay competitive in the digital landscape. Through initiatives like LunarTech Academy, the company provides certified AI and Data Science training programs spanning machine learning, deep learning, and generative AI. LunarTech Technology delivers tailored AI tools and platforms, including Phoenix, which offers over 200 AI-powered tools to enhance productivity and automation. With a mission to prepare individuals and organizations for a data-driven future, LunarTech continues to lead in shaping AI and Data Science education and solutions.
This is a full-time remote role for a Fullstack Engineer based in Paris. The Fullstack Engineer will be responsible for designing, developing, and maintaining both frontend and backend components of web applications. Day-to-day tasks include building scalable and user-friendly interfaces, integrating APIs, ensuring application security, and collaborating with cross-functional teams to deliver high-quality software solutions. The role involves identifying and solving technical challenges while contributing to continuous product improvement and innovation.
- Strong knowledge of backend development and proficiency in Manufacturing Engineering and Mechanical Engineering principles, with an emphasis on solving technical challenges.
- Effective communication skills and the ability to clearly articulate ideas and collaborate with cross-functional teams.
- Strong analytical skills for problem-solving, debugging, and optimizing code for scalable solutions.
- Project management skills to oversee software development cycles efficiently and ensure deadlines are met.
- Experience in Fullstack development, with modern frameworks and applications, is highly preferred.
- Familiarity with cloud-based platforms and agile methodologies is a plus.
- Bachelor’s degree in Computer Science, Engineering, or a related field is required.