This is apart of the AI Enterprise Technology Division

MUST HAVE ALL OF THE FOLLOWING REQUIREMENTS: Generative AI, AWS, Python, React

As a Full-Stack Gen AI Engineer, you'll be at the forefront of building the next generation of AI applications using Large Language Models (LLMs), LangChain, Python, and React. You'll focus on developing intelligent conversational agents and AI-powered features that utilize cutting-edge Generative AI technologies. If you have a passion for creating AI-driven applications and are eager to work with some of the latest tools in the field, this is your chance to make an impact.

Key Responsibilities:

• Build AI-Powered Applications: Design and implement web applications that leverage Large Language Models (LLMs) using LangChain and Python to deliver powerful AI-driven functionalities.
• Develop Dynamic User Interfaces: Create intuitive and interactive user interfaces using React, ensuring seamless user experiences that effectively integrate with AI models.
• Collaborate with Cross-Functional Teams: Work closely with data scientists, machine learning engineers, and AWS architects to support model development, deployment, and optimization for production environments.
• Optimize Model Performance: Implement strategies to fine-tune LLMs and other AI models to enhance response accuracy, efficiency, and scalability.
• Integrate Backend and Frontend Systems: Build and maintain robust API layers and server-side components in Python to support seamless integration between the backend and frontend.
• Ensure Application Scalability and Security: Collaborate with AWS architects to design scalable solutions that adhere to best practices for data security and application performance.
• Implement Continuous Integration/Deployment: Set up and maintain CI/CD pipelines to automate testing and deployment processes, ensuring code reliability and efficient updates.
• Stay Up-to-Date with AI Advancements: Keep informed about the latest developments in Generative AI and related technologies to incorporate cutting-edge features and techniques into projects.
• Troubleshoot and Debug: Identify, diagnose, and resolve technical issues in both the frontend and backend components of the applications.
• Document Development Processes: Maintain comprehensive documentation for codebases, APIs, and project workflows to support team collaboration and future project scalability.