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Open nowFirst seen 36 hours ago

AI Chatbot Engineer

Quantum Strides LLC168 open roles

Where
Remote
Work mode
Remote
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Your applicationOpen nowAI Chatbot EngineerQuantum Strides LLC · Remote

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

11.9% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 36 hours ago

The posting

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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