Job Description:

We are seeking a skilled Rasa Developer to join our team. The ideal candidate will have experience in building, deploying, and maintaining conversational AI solutions using Rasa's open-source framework. You will collaborate with cross-functional teams to design and implement AI-driven chatbots and virtual assistants that enhance customer experience.

 

Responsibilities:

Develop and Maintain Chatbots: Design, build, and maintain AI-driven chatbots and virtual assistants using Rasa's open-source framework.

- NLU and Dialogue Management: Implement Natural Language Understanding (NLU) and dialogue management components to ensure seamless conversation flows.

- Custom Integrations: Integrate chatbots with various platforms (e.g., CRM, ERP systems) and third-party APIs.

- Testing and Optimization: Perform unit testing, end-to-end testing, and regular updates to optimize chatbot performance.

- Collaboration: Work closely with product managers, designers, and other developers to define and implement solutions that meet business requirements.

- Training and Tuning: Develop and refine machine learning models for intent classification, entity extraction, and dialogue management.

- Documentation: Create and maintain technical documentation for the Rasa bots, including workflows, intents, entities, and integration details.

- Continuous Learning: Stay up-to-date with the latest advancements in conversational AI and integrate them into existing and new projects.

Preferred Qualification:

Educational Background: Bachelor's degree in Computer Science, Engineering, or a related field.

- Proven experience in developing conversational AI solutions using the Rasa framework.

 - Experience with Python programming and machine learning concepts.

 - Experience with natural language processing (NLP) and NLU.

Proficiency in Python.

 - Strong understanding of Rasa Open Source and Rasa X.

 - Experience with RESTful APIs and webhooks.

 - Familiarity with Docker, Kubernetes, and cloud platforms (AWS, Azure, Google Cloud) is a plus.

 - Experience with version control (e.g., Git).

 - Familiarity with Agile/Scrum development methodologies.

Additional Details:

- Soft Skills:

 - Strong problem-solving skills and attention to detail.

 - Excellent communication skills, both written and verbal.

 - Ability to work independently and in a team environment.

 - Proactive in learning and adopting new technologies.

 

- Experience with other chatbot frameworks (e.g., Dialogflow, Botpress).

- Knowledge of front-end technologies like HTML, CSS, and JavaScript.

- Understanding of UX/UI principles for conversational interfaces.