AI Engineer
6-Month contract
$80-$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)
