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Full Stack Software Engineer in Generative AI
2 mesi fa
Are you passionate about Generative Artificial Intelligence and full-stack software engineering? At Gemmo, we are looking for a talented Generative AI Full Stack Software Engineer to help us shape the future of AI-driven applications.
Role Overview: As a Generative AI Full Stack Software Engineer, you will be instrumental in crafting innovative software solutions that utilize our advanced Generative AI technologies. Your responsibilities will encompass everything from architecting scalable systems to developing user-friendly interfaces, ensuring that we deliver exceptional AI applications across various sectors.
Key Responsibilities:
- Engage with interdisciplinary teams to gather requirements and create effective software solutions.
- Architect and implement scalable, resilient software frameworks for Generative AI applications.
- Design and enhance user interfaces for AI-enhanced tools and platforms.
- Improve software efficiency and perform testing to guarantee high quality and dependability.
- Keep abreast of the latest developments in Generative AI and software engineering.
Qualifications:
- Bachelor's or Master's degree in Computer Science or a related discipline.
- Strong proficiency in Python programming.
- Experience in web development using HTML, CSS, and JavaScript.
- Familiarity with JavaScript frameworks such as React or Vue.
- Experience in developing RESTful APIs, preferably with FastAPI.
- Knowledge of SQL databases.
Preferred Qualifications:
- Experience with Generative AI frameworks and technologies.
- Familiarity with high-performance programming languages (e.g., Go, Rust, C++).
- Interest in areas such as Computer Vision and Sound Analysis.
Why Work with Us?
At Gemmo, you will enjoy:
- Impactful Work: Contribute to a pioneering startup that is at the forefront of the AI revolution.
- Learning Opportunities: Deepen your knowledge in deep learning, sound analysis, and computer vision while gaining hands-on experience in developing meaningful machine learning applications.
- Skill Development: Enhance your understanding of algorithms and Python data structures while improving your debugging and problem-solving capabilities.
- Communication Skills: Cultivate your communication and interpersonal skills, which are vital for success in a collaborative setting.
- Language Proficiency: Improve your English language skills, both spoken and written, as you will interact with international colleagues and clients.
Benefits:
- Flexible working hours.
- Hybrid work environment.
- Competitive salary.
