- Company Name
- RED Global
- Job Title
- Conversational AI Developer
- Job Description
-
Job Title: Conversational AI Developer
Role Summary:
Design, develop, and maintain advanced conversational AI solutions—including chatbots and virtual assistants—using NLU/NLP technology. Build and integrate dialogue systems with backend services, ensuring optimal performance, security, and compliance.
Expectations:
* Deliver scalable AI chat solutions within commercial project timelines.
* Maintain high accuracy for intent/entity recognition and conversational flow.
* Collaborate cross‑functionally with product, UX, and data science teams.
* Provide ongoing monitoring, troubleshooting, and iterative improvement.
Key Responsibilities:
1. Architect and implement conversational AI platforms (chatbots, virtual assistants).
2. Develop NLU/NLP models (intent classification, entity extraction, context handling).
3. Create conversation flows, intent schemas, entity vocabularies, and dialogue management logic.
4. Integrate AI systems with APIs, databases, and third‑party services.
5. Conduct performance testing, analyze metrics, and optimize for accuracy and speed.
6. Monitor production systems, diagnose issues, and apply continuous improvements.
7. Ensure data privacy, security, and compliance with regulations (GDPR, CCPA, industry standards).
Required Skills:
* Proficiency in Python, Java, or comparable languages.
* Experience with NLU/NLP libraries/frameworks (Rasa, Dialogflow, LUIS, spaCy, NLTK, BotFramework).
* Knowledge of RESTful APIs, database integration, and version control (Git).
* Familiarity with CI/CD, cloud platforms (AWS, Azure, GCP) and containerization (Docker).
* Strong debugging, unit testing, and performance profiling abilities.
* Excellent documentation, communication, and stakeholder collaboration skills.
Required Education & Certifications:
* Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or related field.
* Certifications in NLP/Conversational AI (e.g., Microsoft Certified: Azure AI Engineer Associate, Google Cloud CX Professional, Rasa Certified Practitioner) preferred but not mandatory.