Chatbot Developer

EWS
Remote, Other
POSTED ON 9/19/2023 CLOSED ON 9/20/2023

What are the responsibilities and job description for the Chatbot Developer position at EWS?

Job Description

Title: Chatbot Developer 

Location: Remote 

Duration: 12 Months 

 

Description: 

 

Part of e-commerce group. Omni Channel Developer- decided to work with live person to provide SAAS to install chatbot. Live chat, conversational AI strategist. Build the chat bot and work with stream interfaces. AI/ NLP. Building a new team, this role has huge potential of becoming tech lead. Ecommerce website, integrate chat bot.  

 

Qualifications: 

 

  • 3 years of working with LLMs large language model.  
  • 5 Years of Python Development - Sr. Level Python Development experience    

 

Must Have: 

 

  • Building chatbot/ integrating to different platforms.   
  • Strong Python Development   
  • Experience with large language models (LLMs)  

 

Responsibilities: 

 

  • Architect and implement chatbot solutions that leverage the capabilities of large language models (LLMs) to deliver natural and contextually relevant conversations.  
  • Develop robust and scalable backend systems to handle user interactions, data processing, and integration with external services.  
  • Implement cutting-edge conversational design principles, ensuring an engaging and user-friendly experience.  
  • Architect and implement chatbot solutions that leverage fine-tuning of language models for specific tasks and domains.  

 

Requirements: 

 

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. Equivalent practical experience will also be considered.  
  • Proven experience (3 years) in designing and developing chatbots or conversational agents, with a focus on leveraging large language models (GPT-3, GPT-4, etc.).  
  • Proficiency in programming languages such as Python, TypeScript, or similar, along with experience in web frameworks and RESTful API development.  
  • Strong understanding of natural language processing (NLP) concepts, sentiment analysis, intent recognition, and dialogue management.  
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