Chatbot Developer

Position Overview:

We are seeking an experienced and innovative Chatbot Developer to design and build an intelligent, cost-efficient chatbot entirely from scratch. This chatbot will be integrated into a web portal and must handle multi-turn conversations, dynamically execute SQL queries, and retrieve information from product documentation. The role requires expertise in advanced Natural Language Processing (NLP), machine learning, and neural networks, including frameworks like LangChain and Hugging Face, while avoiding dependency on pre-built models like ChatGPT.

Key Responsibilities:

Chatbot Architecture Design

• Develop a fully custom chatbot solution with advanced conversational capabilities.
• Architect the chatbot to handle context-aware, multi-turn conversations efficiently.
• Ensure scalability and reliability for seamless user interaction.

NLP and Machine Learning Development

• Implement custom NLP pipelines for text preprocessing, tokenization, stemming, and lemmatization.
• Use Bag of Words (BoW), TF-IDF, or advanced vector representations for feature extraction.
• Design and train deep learning models, including RNNs, LSTMs, and other neural networks, for intent recognition and response generation.
• Integrate libraries and tools like LangChain for managing conversation chains and Hugging Face Transformers for fine-tuning domain-specific models if required.

Custom Database Interaction

• Build mechanisms for the chatbot to construct and execute SQL queries dynamically based on user queries.
• Ensure data security and optimize query performance for quick and accurate responses.

Knowledge Retrieval System

• Implement information retrieval techniques to extract relevant content from product documentation.
• Use algorithms like Approximate Nearest Neighbor (ANN) for efficient document similarity searches.
• Build a custom retrieval-augmented generation (RAG) pipeline to deliver precise answers using domain knowledge.

AI Model Optimization

• Fine-tune models to balance accuracy, efficiency, and cost-effectiveness.
• Train models using domain-specific datasets and incorporate reinforcement learning from user feedback.

Web Integration and Deployment

• Integrate the chatbot with the web portal using modern front-end and back-end frameworks.
• Ensure cross-platform compatibility for web and mobile responsiveness.
• Deploy the solution on cost-efficient platforms or local servers to minimize operational costs.

Continuous Improvement and Maintenance

• Monitor the chatbot's performance and identify areas for enhancement.
• Regularly update the models with new data to improve accuracy and adaptability.
• Stay up to date with advancements in NLP, deep learning, and conversational AI.

Required Skills and Qualifications:

• Extensive experience in developing chatbots and conversational AI systems from scratch.
• Expertise in Natural Language Processing (NLP), including tokenization, text preprocessing, and vectorization techniques.
• Strong knowledge of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).
• Hands-on experience with deep learning architectures such as RNNs, LSTMs, and other neural networks.
• Proficiency with libraries and frameworks like Hugging Face Transformers, LangChain, and custom-built NLP pipelines.
• Solid understanding of information retrieval techniques, including ANN and vector databases.
• Proficiency in programming languages such as Python and JavaScript.
• Experience with SQL databases and dynamic query execution.
• Strong knowledge of web technologies (HTML, CSS, JavaScript, REST APIs).
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization (Docker, Kubernetes).

Preferred Qualifications:

• Experience implementing retrieval-augmented generation (RAG) architectures.
• Knowledge of modern embedding techniques (e.g., Word2Vec, GloVe, BERT).
• Familiarity with vector databases (e.g., Pinecone, Weaviate, or FAISS).
• Proven experience in deploying AI solutions on cost-effective infrastructure.
• Strong analytical skills with a focus on user-centric design and functionality.