AI Expert

We are looking for a Text and NLP Engineer passionate about building intelligent text systems — from grammar correction to conversational AI.
This role is key to improving the quality, fluency, and human-likeness of text-based interactions with users. 

Responsibilities:

• Design and build text normalization, spelling correction, and grammar checking systems and Summarization.
• Develop and maintain chatbots and conversational assistants with natural and context-aware dialogue.
• Design and author chatbot dialogue flows, fallback strategies, and personality tuning.
• Build and manage custom text datasets for fine-tuning and evaluation — dataset creation is part of the job.
• Research and apply Transformer-based and LLM models (BERT, GPT, T5, Llama, Mistral, etc.).
• Implement intent detection, entity extraction, and context tracking for interactive responses.
• Integrate NLP models with frontend and backend services via FastAPI.
• Quantize, optimize, and deploy text models on production servers for low-latency performance.
• Containerize models with Docker and manage environments with Kubernetes.
• Work closely with the speech AI team to create voice-enabled, multimodal chat experiences.
• Monitor model quality, gather real-world feedback, and continuously refine conversational accuracy. 

Required Skills & Experience:

• Strong Python background and familiarity with NLP frameworks:
• HuggingFace Transformers, SpaCy, NLTK, Scikit-learn
• Experience in spell correction, intent classification, sentiment analysis, or dialogue systems.
• Familiarity with LLMs and prompt-engineering for chat-style applications.
• Proficiency with FastAPI, Docker, and Kubernetes for model deployment.
• Knowledge of quantization, distillation, or model compression techniques.
• Experience working with Persian and English text datasets is a plus.
• Understanding of MLOps, pipelines, and real-time API monitoring tools.

Nice to Have

• Experience integrating NLP and ASR systems for hybrid voice–text chatbots.