Job Overview: We are seeking a skilled and motivated Generative AI Full Stack Engineer to join our dynamic team. In this role, you will be responsible for designing, developing, and maintaining both front-end and back-end components of our AI-driven web applications. You will collaborate with cross-functional teams to deliver high-quality software solutions that leverage generative AI technologies to meet our clients' needs. The ideal candidate should have a strong understanding of web development and AI technologies, with a passion for creating innovative user experiences powered by generative models.

Responsibilities:

• Design and implement user-friendly web applications using modern frameworks and AI-driven technologies.
• Develop RESTful APIs to support front-end functionality and integrate generative AI models into back-end services.
• Collaborate with UX/UI designers to create responsive, visually appealing, and AI-enhanced interfaces.
• Write clean, maintainable code in languages such as Python, JavaScript, and frameworks like TensorFlow or PyTorch.
• Utilize SQL and NoSQL databases for efficient data management and storage of AI model outputs.
• Participate in Agile development processes, including sprint planning, daily stand-ups, and code reviews.
• Integrate and fine-tune generative AI models to optimize performance for various applications.
• Troubleshoot and debug applications to ensure seamless user experiences and reliable AI outputs.
• Stay current with emerging technologies, particularly in the fields of generative AI, machine learning, and web development.

Qualifications:

• Proficiency in web development frameworks such as React, Express, and familiarity with AI libraries like TensorFlow, PyTorch, or Hugging Face.
• Strong understanding of RESTful services, API development, and AI model integration.
• Experience with version control systems like Git.
• Solid knowledge of SQL and NoSQL databases, including their use in AI-driven applications.
• Familiarity with Agile methodologies for software development.
• Experience deploying and managing AI models in cloud environments (e.g., AWS, Google Cloud, Azure).
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a team-oriented environment.
• Strong communication skills to effectively convey technical concepts to both technical and non-technical stakeholders.