Python / Chatbots / Conversational Agents

Python Developer

Roles and Responsibilities:

• Conversational AI Development:

  Design, develop, and implement conversational flows, intents, entities, and responses for chatbots and virtual assistants using Python and relevant frameworks (e.g., Rasa, Google Dialogflow, Microsoft Bot Framework).

• Python Development:

  Write robust, scalable, and efficient Python code for backend logic, integrations, and natural language processing (NLP) components of conversational agents.

• NLP & NLU Integration:

  Integrate and fine-tune Natural Language Understanding (NLU) and Natural Language Processing (NLP) models to improve the chatbot's ability to understand user input and generate appropriate responses.

• System Integration:

  Integrate chatbots with various enterprise systems, databases, APIs, and communication channels (e.g., web chat, messaging apps, voice channels) to enable seamless data exchange and functionality.

• Analysis & Design:

  Analyze user conversations and business requirements to identify opportunities for automation and to enhance conversational experiences. Design dialogue flows and interaction models.

• Testing & Optimization:

  Conduct rigorous testing of conversational agents, including unit, integration, and user acceptance testing. Monitor performance, analyze conversation logs, and continuously optimize chatbot responses and accuracy.

• Troubleshooting:

  Perform in-depth troubleshooting, debugging, and issue resolution for chatbot functionalities, integration points, and underlying Python code.

• Data Management:

  Manage and structure conversational data for training, analysis, and model improvement.

• Collaboration:

  Work closely with product managers, UI/UX designers, data scientists, and other development teams to deliver effective and user-friendly conversational AI solutions.

Preferred Candidate Profile:

• Python Proficiency:

  Strong programming skills in

  Python

  , including experience with relevant libraries for web development, data processing, or AI.

• Chatbot/Conversational AI:

  Hands-on experience in developing, deploying, and managing

  chatbots or conversational agents

  .

• Conversational AI Frameworks:

  Familiarity with popular conversational AI frameworks and platforms (e.g.,

  Rasa, Google Dialogflow, Microsoft Bot Framework, IBM Watson Assistant

  ).

• Natural Language Processing (NLP):

  Basic understanding of NLP/NLU concepts and experience with NLP libraries (e.g., NLTK, spaCy) or services.

• API & Integration:

  Experience with developing and consuming RESTful APIs for integrating conversational agents with backend systems.

• Database Skills (Plus):

  Familiarity with databases (SQL/NoSQL) for storing and retrieving conversational data.

• Problem-Solving:

  Excellent analytical and problem-solving skills with a creative approach to designing interactive conversational experiences.

• Communication:

  Strong verbal and written communication skills to articulate technical concepts and collaborate effectively with diverse teams.

• Education:

  Bachelor's degree in Computer Science, Artificial Intelligence, Linguistics, or a related technical field.