We are looking for a talented and experienced Full Stack Developer with a strong understanding of Generative AI to join our dynamic team. In this role, you will work on designing and developing scalable applications while integrating AI-powered features to enhance user experience. You will collaborate with cross-functional teams to build end-to-end solutions, leveraging both frontend and backend technologies alongside cutting-edge AI capabilities.
Responsibilities:
Design, develop, and maintain web applications with a focus on both frontend and backend development.
Implement and integrate Generative AI models and features into applications.
Develop clean, efficient, and reusable code using modern programming languages and frameworks.
Collaborate with UI/UX designers to implement user-friendly, visually appealing interfaces.
Build and maintain databases, APIs, and microservices to support scalable applications.
Stay up to date with the latest developments in Generative AI, machine learning, and full-stack technologies.
Optimize applications for speed, scalability, and performance.
Write unit tests and conduct debugging to ensure application quality.
Work with product managers and stakeholders to understand requirements and translate them into technical specifications.
Ensure proper security measures are in place to protect user data and prevent vulnerabilities.
Requirements:
Proven experience as a Full Stack Developer with hands-on expertise in both frontend and backend technologies.
Strong knowledge of Generative AI models and frameworks such as GPT, DALL-E, or similar.
Proficiency in programming languages like JavaScript, Python, TypeScript, or Java.
Experience with frontend frameworks (e.g., React, Angular, Vue.js) and backend technologies (e.g., Node.js, Django, Flask, Spring).
Familiarity with database management systems like MySQL, PostgreSQL, or NoSQL databases.
Experience with cloud services like AWS, Azure, or Google Cloud.
Solid understanding of RESTful APIs and microservices architecture.
Strong problem-solving and debugging skills.
Ability to collaborate in an agile environment and work in cross-functional teams.
Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.
Preferred Qualifications:
Bachelor's degree in computer science, AI, or a related field.
Familiarity with AI deployment frameworks and tools (e.g., TensorFlow, PyTorch, OpenAI APIs).
Experience working in an agile development environment.