Senior AI Engineer | LLM & Conversational Systems

**About The Opportunity** We are looking for a highly specialized professional to work on the development and optimization of advanced Artificial Intelligence solutions, with a focus on Large Language Models (LLMs), Prompt Engineering, RAG Systems, AI Security, and Conversational Chatbots. This role requires solid experience in NLP, modern architectures, and security best practices to ensure high performance, reliability, and scalability. **Responsibilities** **Key Responsibilities** * Advanced Prompt Engineering: Create, test, and refine sophisticated prompts for LLMs, applying techniques such as few\-shot learning, chain\-of\-thought, and self\-consistency. * RAG Systems (Retrieval\-Augmented Generation): Design data pipelines, implement embeddings, and optimize retrieval mechanisms integrated with generative models. * LLM Security: Develop strategies against adversarial attacks (prompt injection, jailbreaking), ensuring input sanitization and output validation. * Chatbot Development: Build and maintain intelligent virtual assistants using platforms like Google Dialogflow, integrating them with APIs and backend systems. * NLP and ML Models: Apply advanced NLP techniques, fine\-tune pre\-trained models (BERT, GPT, T5\), and implement MLOps practices for production deployment. **Required Qualifications** **Qualifications \& Technical Skills:** * Proven experience with LLMs, NLP, and Prompt Engineering. * Knowledge of RAG Systems, vector databases (Pinecone, FAISS, Weaviate), and data pipelines. * Familiarity with AI security and vulnerability mitigation. * Experience with chatbot platforms (Dialogflow CX/ES) and API integration. * Proficiency in Python and libraries such as Hugging Face, LangChain, and Transformers. * Knowledge of MLOps and scalable deployment practices. * Technical English proficiency for reading research papers and documentation. **Nice To Have Skills** **Nice To Have Skills** * Experience with serverless architectures (AWS Lambda, API Gateway). * Knowledge of vector databases and semantic search optimization. * Participation in projects involving AI security and adversarial attack mitigation.