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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