AI Engineer 12-Month contract $90-$100/Hr Fully Remote - EST Hours In this position, you'll develop, design, and deploy LLMs and conversational AI models for an IoT-enabled device. Responsibilities: • Design and implement function calling within conversational AI models, enabling seamless interactions between users and IoT devices. • Deploy AI models and agents into production and scale them into robust, user-facing products. • Train, fine-tune, and deploy LLM's into production settings • Optimize and scale machine learning algorithms to handle large volumes of data efficiently. • Utilize knowledge graph systems and Retrieval-Augmented Generation (RAG) to create efficient, real-time support agents leveraging technical documentation. • Integrate data from IoT devices and external sources to deliver intelligent, context-aware responses. • Contribute to the full DevOps lifecycle, including containerization, CI/CD pipelines, and scaling solutions for deployment. • Develop and fine-tune LLMs and NLP models that enhance interactions with IoT systems, focusing on domain-specific tasks such as technical support, product monitoring, and customer engagement. Qualifications: • Expertise in designing and implementing function calling within conversational AI models for seamless user-IoT device interactions. • Up to 3 years of AI development experience, bringing a fresh perspective and a passion for innovative product creation. • Proven experience deploying AI models and agents into production and scaling them into robust, user-facing products. • Practical knowledge of DevOps, including containerization (Docker, Kubernetes) and CI/CD workflows for efficient deployment. • Experience with LLMs (e.g., GPT-4, Whisper), including training, fine-tuning, and application in production settings. • Experience with contemporary AI and NLP libraries and frameworks (e.g., LangChain, LangGraph, Azure Speech-to-Text). • Comfortable working with cloud platforms (e.g., AWS, Azure)