The customer's team is looking to leverage cutting-edge AI/ML projects, utilizing the latest advancements in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and full-stack development to build innovative solutions.
Requirements
- Proven experience with LLMs using APIs, fine-tuning, RAG, or pre/post training development workflows.
- Strong development skills in JavaScript/TypeScript with hands-on experience in React and Node.js.
- Solid understanding of AI/ML concepts and practical experience with frameworks such as TensorFlow or PyTorch.
- Expertise in deploying and managing applications on AWS or similar cloud platforms.
- Proficiency in common full stack frameworks and best practices.
- Experience with additional AI/ML frameworks and cloud-native technologies.
- Background in Retrieval-Augmented Generation (RAG) architectures and prompt engineering.
Responsibilities
- Design, develop, and maintain applications utilizing LLMs and RAG methodologies.
- Implement and scale AI/ML models using frameworks like TensorFlow and PyTorch.
- Build and maintain robust front-end interfaces with React and scalable back-end systems with Node.js.
- Deploy and manage applications on AWS, ensuring reliability, security, and scalability.
- Continuously research and integrate the latest technologies in AI/ML and cloud computing.
Other
- Collaborate closely with cross-functional teams to translate business requirements into technical solutions.
- Communicate complex technical concepts clearly, both in writing and verbally, to diverse stakeholders.
- Exceptional written and verbal communication skills, with a focus on clarity and collaboration.
- Demonstrated ability to work effectively on-site in a collaborative, fast-paced team environment.
- Track record of delivering production-grade AI/ML solutions in a full-stack environment.
