Generative AI Engineer - NLP/LLM

Key Responsibilities :

- Build RAG pipelines with vector databases and implement prompt engineering strategies.

- Conduct data preprocessing for LLM training including tokenization and embedding generation.

- Design custom chatbots, text generation, and document analysis solutions.

- Implement LLM evaluation metrics (BLEU, ROUGE, perplexity) and human feedback loops.

- Deploy conversational AI and content generation models in production.

Technical Requirements :

- Proficient in Transformers, Hugging Face, LangChain, OpenAI API.

- Experience with vector databases (Pinecone, Weaviate, ChromaDB) and semantic search.

- Strong Python, SQL, and deep learning (PyTorch, TensorFlow).

- Knowledge of fine-tuning techniques (LoRA, QLoRA, PEFT) and model quantization.

- Understanding of prompt engineering, chain-of-thought, and few-shot learning.

- Familiarity with MLOps for LLMs (model versioning, A/B testing, monitoring)