AI Full Stack Developer & Architect

Requirements

• Experience with generative AI and agentic architectures.
• Understanding of data privacy and security in AI applications.
• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field
• All your information will be kept confidential according to EEO guidelines.

Additional Information

AI Application Development: Develop and maintain end-to-end AI applications, from user interfaces to backend logic, focusing on AI-powered features. ML Model Integration: Implement machine learning models (using frameworks like PyTorch , TensorFlow , or scikit-learn ) into web and mobile applications. Backend & API Engineering: Build and maintain scalable backend services and RESTful APIs, often integrated with large language models (LLMs) and agentic frameworks. Frontend Development: Create interactive, responsive front-end components for user interfaces using modern frameworks like React , Vue , or Next.js . MLOps & Deployment: Manage end-to-end life cycles for production, including deployment workflows using Kubernetes , Cloud Run , or containerization tools to ensure high-performance applications. Database Management: Manage both relational and NoSQL databases to support AI-powered functionality. Collaboration: Work closely with data scientists, product managers, and designers to turn AI capabilities into user-focused products. Required Qualifications & Skills Experience: Proven experience(5~8 yrs. for Middle Level & 9+ yrs. for Sr. Level) as a Full Stack Developer with specialized experience in AI model deployment. Backend Skills: Strong proficiency in Python and frameworks like FastAPI or Django. Frontend Skills: Experience with modern JavaScript frameworks (React.js + Node.js,Next.js, Plotly Dash + FastAPI). AI/ML Knowledge: Familiarity with AI model integration (e.g., OpenAI API, LangChain, PyTorch). Cloud/DevOps: Experience in Cloud platforms (AWS, GCP, Azure) and container technologies (Docker, Kubernetes). Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.

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