AI/ML Engineer

Job Description

5+ years of IT experience Expertise in building and deploying conversational AI systems, including the integration of LLMs (Large Language Models) and other natural language processing (NLP) tools. Strong proficiency in Python and familiarity with frameworks like LangChain, LangGraph, and AutoGen. Solid understanding of cloud architectures and experience with deploying scalable AI solutions (AWS, GCP, Azure, etc.). Experience with APIs, databases, and real-time data processing for enhancing AI chat capabilities. Understanding of model fine-tuning, prompt engineering, and context management in conversational agents. Knowledge of best practices in testing, monitoring, and debugging AI-driven applications. Familiarity with reinforcement learning or other machine learning techniques to improve chat system performance. Knowledge of other conversational AI tools such as Rasa, BotPress, or OpenAI API. Experience in deploying conversational agents in enterprise environments or customer-facing applications.