Fullstack Developer

Role & responsibilities

As a Full Stack Developer, you will be responsible for designing, implementing, and maintaining both frontend and backend systems for our AI/ML-based software products. You will collaborate closely with product managers, designers, frontend developers, and AI/ML engineers to deliver scalable and efficient solutions. The ideal candidate should have a strong foundation in frontend and backend development, as well as experience working with AI/ML technologies.

• Work collaboratively with cross-functional teams to understand requirements and translate them into scalable full-stack solutions.
• Design and develop user interfaces for AI/ML-based applications using modern frontend frameworks such as React.js, Angular, or Vue.js.
• Implement responsive and accessible designs that work seamlessly across different devices and browsers.
• Develop scalable and efficient backend systems using Python and relevant frameworks such as Django and Flask.
• Integrate machine learning models into the backend infrastructure to enable intelligent functionalities.
• Implement RESTful APIs and other interfaces to facilitate communication between frontend and backend systems.
• Optimize frontend and backend performance to ensure fast loading times and smooth interactions.
• Conduct code reviews, write unit tests, and ensure code quality, reliability, and security.
• Troubleshoot and debug issues to maintain the stability of both frontend and backend systems.
• Stay updated on the latest technologies and trends in full-stack development and AI/ML.
• Implement scalable APIs using gRPC framework.

Preferred candidate profile

• Bachelor's or Masters degree in Computer Science, Engineering, or related field.
• 3 to 4 years of professional experience in full-stack development.
• Proficiency in at least one modern frontend framework such as React.js, Angular, or Vue.js.
• Strong understanding of HTML5, CSS3, and JavaScript, including ES6+.
• Experience with state management libraries (e.g., Redux, Vuex) and component-based architectures.
• Strong proficiency in Python and experience with relevant frameworks such as Django and Flask.
• Experience working on AI/ML-based projects and integrating machine learning models into backend systems.
• Knowledge of database technologies such as SQL and NoSQL (e.g., PostgreSQL, MongoDB).
• Familiarity with RESTful APIs, asynchronous programming, and cloud platforms such as AWS.
• Experience with version control systems (e.g., Git) and collaborative development workflows.
• Excellent problem-solving skills and attention to detail.
• Strong communication and interpersonal skills.