chatbot Developer With RASA

Job Description

Role: Chatbot Developer/GenAI with RASA Experience

Duration: Longterm

Location: Remote

Job Overview:

We are seeking a talented Chatbot Developer/GenAI Engineer with hands-on experience in RASA to design, develop, and implement intelligent chatbot solutions. The ideal candidate will have a strong background in natural language processing (NLP), machine learning, and chatbot frameworks, specifically RASA, to enhance user engagement and automate interactions. You will work closely with cross-functional teams to deliver seamless conversational experiences.

Key Responsibilities:

1. Chatbot Development:

   • Design, develop, and deploy chatbot applications using the RASA framework to meet business needs and enhance customer interactions.
   • Implement advanced conversational designs and workflows that improve user experience and engagement.

2. Natural Language Processing:

   • Utilize NLP techniques to analyze user inputs and develop intents, entities, and dialogue flows that accurately capture user intent.
   • Fine-tune and optimize NLP models to ensure high accuracy and responsiveness in understanding user queries.

3. Integration:

   • Integrate chatbot solutions with various messaging platforms (e.g., Slack, Facebook Messenger, WhatsApp) and backend systems (e.g., databases, APIs).
   • Collaborate with backend developers to ensure seamless integration of chatbots with existing applications and services.

4. Testing and Quality Assurance:

   • Conduct thorough testing and validation of chatbot applications to ensure functionality, performance, and user satisfaction.
   • Gather user feedback and iterate on chatbot design and features to continuously improve the conversational experience.

5. Monitoring and Maintenance:

   • Monitor chatbot performance and user interactions, utilizing analytics tools to gain insights into user behavior and improve chatbot responses.
   • Maintain and update chatbot systems and models to ensure they remain relevant and effective over time.

6. Collaboration:

   • Work closely with product managers, UX/UI designers, and other stakeholders to define chatbot requirements and functionalities.
   • Participate in brainstorming sessions and contribute to the overall chatbot strategy and vision.

7. Documentation:

   • Create and maintain comprehensive documentation for chatbot architecture, design, and workflows.
   • Provide training and support materials for end-users and stakeholders.

Qualifications:

• Education:

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

• Experience:

  • 3+ years of experience in chatbot development and deployment.
  • Hands-on experience with the RASA framework and its components (Rasa NLU, Rasa Core).
  • Strong understanding of machine learning concepts and techniques as applied to natural language processing.

• Technical Skills:

  • Proficiency in programming languages such as Python and familiarity with NLP libraries (e.g., NLTK, spaCy, TensorFlow).
  • Experience with conversational design principles and frameworks, including chatbot best practices.
  • Familiarity with cloud services (e.g., AWS, Google Cloud) and DevOps practices for deployment and maintenance.

Additional Information

All your information will be kept confidential according to EEO guidelines.