Kỹ sư Fullstack at Mesha

This position requires a Fullstack Engineer with a strong emphasis on AI and Machine Learning, combined with comprehensive fullstack development abilities to create innovative and scalable applications.

• Proficiency in Python, JavaScript, and Node.js for both front-end and back-end development.
• Experience with AI/ML frameworks such as TensorFlow or PyTorch to implement and integrate machine learning models.
• Knowledge of database systems including SQL and NoSQL to support application data management.
• Familiarity with cloud platforms like AWS, Azure, or GCP for deployment and optimization.

Mesha, as an innovative and likely AI-focused company, is seeking a Fullstack Engineer to drive cutting-edge projects in artificial intelligence and machine learning. Their recruitment intent appears to be filling a role that bridges traditional software development with AI expertise, suggesting a need for versatility in handling end-to-end development from concept to deployment. This indicates a possible focus on research-driven or product-oriented environments where candidates can collaborate with data scientists and contribute to boundary-pushing applications. The emphasis on staying current with emerging technologies points to a dynamic, fast-paced workplace that values innovation and continuous learning, likely aimed at building a team capable of addressing complex challenges in AI integration and scalability.

Interviewers at Mesha would prioritize candidates who demonstrate practical skills in integrating AI with fullstack development, such as building responsive front-end interfaces and robust back-end services. They will assess problem-solving abilities through scenarios involving machine learning model implementation and API design, ensuring candidates can handle real-world challenges in a collaborative, agile setting. Key focus areas include evaluating experience with AI frameworks, cloud platforms, and database systems, as well as soft skills like teamwork and adaptability, to ensure the candidate can contribute effectively to the team's innovative projects and maintain high performance in fast-evolving AI applications.