• Application Deadline:
• Position: Senior Python Backend Developer


• Job Type Full Time


• Qualification BA/BSc/HND


• Experience 10 years


• Location Lagos


• Job Field ICT / Computer 
  

Responsibilities:

• Design backend architecture: Define the system's components, data flow, and communication protocols of a chatbot architecture.


• Select appropriate frameworks and libraries: Choose the most suitable tools for the project, such as Flask, Django, or FastAPI.


• Implement RESTful APIs: Create well-structured APIs for communication between the chatbot's frontend and backend.


• Integrate NLP libraries: Incorporate libraries like NLTK, spaCy, or Gensim for tasks such as tokenization, stemming, lemmatization, and part-of-speech tagging.


• Develop language models: Train or fine-tune language models (e.g., BERT, GPT-3) to understand and respond to user queries effectively.


• Implement intent recognition and entity extraction: Use NLP techniques to identify the user's intent and extract relevant entities from their queries.


• Design and implement database schema: Create a suitable database structure to store conversation history, user profiles, and other relevant data.


• Optimize database performance: Implement indexing, caching, and query optimization techniques to ensure efficient data retrieval.


• Develop the chatbot's logic: Create rules, decision trees, or state machines to guide the chatbot's responses and conversation flow.


• Implement context management: Maintain conversation context to provide personalized and relevant responses.


• Handle user input variations: Account for different ways users may express the same intent.

Qualifications:

• Bachelor’s degree in computer science, Engineering, or a related field.


• 10 years + Proven experience in backend software development, with a strong focus on building scalable and high-performance systems in python


• Expertise in database technologies (e.g., SQL, NoSQL) and data modeling.


• Solid understanding of API development and integration.


• Experience with cloud platforms (e.g., AWS, GCP, Azure) is preferred.


• Knowledge of NLP and machine learning concepts is a plus.


• Strong problem-solving and analytical skills.


• Excellent communication and teamwork abilities.