AI Chatbot Engineer

Job Description Position: AI Chatbot Engineer Job Summary: We are looking for an experienced AI Chatbot Engineer with expertise in Large Language Models (LLM) , SQL-based chatbot functionalities , and AWS AI infrastructure . The ideal candidate should have hands-on experience in developing and integrating AI-powered chatbot solutions, working with structured/unstructured data, and implementing text-to-SQL conversion processes. Key Focus Areas: AI chatbot development experience. Large Language Model (LLM) expertise. SQL-based chatbot functionalities and text-to-SQL conversion. AWS AI infrastructure knowledge (Amazon Lex, AWS Lambda, AWS Kendra, AWS Bedrock). Key Responsibilities: Design, develop, and deploy AI-powered chatbots integrated with databases. Implement Large Language Models (LLMs) for chatbot interactions. Convert text-based queries into SQL for data retrieval and structured response generation. Work with AWS AI services, including Amazon Lex, AWS Lambda, AWS Kendra, and AWS Bedrock . Ensure seamless integration of chatbot models with structured and unstructured data sources. Optimize chatbot performance, user interactions, and response accuracy. Collaborate with cross-functional teams to develop AI-driven solutions. Required Skills & Qualifications: 5+ years of experience in AI-driven chatbot development. Proven experience in LLM-based projects (at least one or two large-scale implementations). Expertise in text-to-SQL conversion and database integration. Strong programming skills in Python, SQL, and AWS SDKs . Hands-on experience with Amazon Lex, AWS Lambda (must-have) and AWS Kendra, AWS Bedrock (good-to-have). Ability to understand and design AI-powered chatbot architectures. Strong analytical and problem-solving skills. Screening Process: Candidates must submit a detailed chatbot project summary before the interview. Must have hands-on experience with 5+ chatbot/ML projects . Screening will focus on chatbot + ML experience and AWS AI expertise.