Global Quantum Intelligence, LLCGlobal Quantum Intelligence, LLC

AI Chatbot Engineer

Added 5 days ago

AI Chatbot Engineer - Quantum Strides LLC | Career Page

Quantum Strides LLC

AI Chatbot Engineer

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Job Openings AI Chatbot Engineer

About the job 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.

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