Lead Full-Stack AI Engineer

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Requirements:

• Bachelor's degree in Computer Science or related field.
• Minimum of 5 years of professional experience as a Full-Stack Engineer, with a focus on AI.
• Strong proficiency in Python and JavaScript.
• Experience with front-end technologies such as React or Angular.
• Experience with back-end frameworks such as Django or Node.js.
• Solid understanding of machine learning concepts and algorithms.
• Experience with AI frameworks and libraries such as TensorFlow or PyTorch.
• Experience with LLMs, Prompt engineering, Langchain.
• Experience with cloud platforms such as AWS or Azure.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.

Responsibilities:

• Lead the technical development of AI-driven products and applications in the digital health space.
• Collaborate with clients and cross-functional teams to understand requirements, define project roadmaps, and deliver high-quality solutions.
• Architect and design resilient and scalable AI systems.
• Integrate AI and machine learning models into front-end and back-end systems.
• Ensure application performance, security, and reliability.
• Stay updated with the latest AI technologies and industry trends.