RIT Solutions, Inc.
Chatbot Engineer
RIT Solutions, Inc. - Tampa
Work at RIT Solutions, Inc.
Overview
- View job
Overview
Job Title: Chatbot Engineer x2
Onsite Requirement/Remote (Time zone?): Chicago preferred - remote fine for the right person
Interview Process: one round with team
Target Start Date: ASAP
Chatbot Engineer (x2)
Responsibilities:
Experience Profile:
Technical Skills:
Onsite Requirement/Remote (Time zone?): Chicago preferred - remote fine for the right person
Interview Process: one round with team
Target Start Date: ASAP
Chatbot Engineer (x2)
Responsibilities:
- Design, develop, and maintain chatbot solutions using Conversational AI platforms to enhance self-service interactions throughout the customer journey.
- Implement conversation flows and automated responses that optimize the customer experience.
- Author and automate test cases to ensure chatbots perform accurately and provide consistent, contextually relevant responses.
- Collaborate cross-functionally to prioritize tasks, manage backlogs, and ensure timely delivery of key features aligned with business goals.
- Continuously monitor and optimize chatbot performance using data-driven insights to improve reliability, scalability, and customer satisfaction.
Experience Profile:
- 3-5 years of experience in chatbot development or similar roles within large-scale, customer-facing environments.
- Proven experience in building, deploying, and managing chatbots that enhance customer service efficiency.
- Extensive experience with AWS tools and services, including Amazon Lex for conversational interfaces and Amazon Connect for voice and chat functionalities.
- Familiarity with Conversational AI platforms such as NLX, Dialogflow, Microsoft Bot Framework, Rasa, or IBM Watson Assistant.
Technical Skills:
- Proficiency in JavaScript for developing interactive chatbot interfaces.
- Advanced Python skills for backend logic, machine learning integration, and enhancing chatbot capabilities.
- Experience with Client models (e.g., TensorFlow, PyTorch, Keras) and NLP libraries (e.g., spaCy, NLTK, GPT-3) for improving chatbot accuracy and contextual understanding.
- Strong understanding of NLP techniques such as intent recognition, entity extraction, and sentiment analysis.
- Experience with relevant AWS tools and services, including Amazon Lex for personalized customer interactions, and the ability to implement and optimize contact center functionalities with Amazon Connect.
- Experience writing and automating test scripts to ensure chatbot reliability and performance.