Job Description
REQUIREMENTS:
Total experience 8+ years.
Deep understanding of LLMs (e.g., GPTs, Llama, Claude, Gemini, Qwen, Mistral, BERT-family models) and their architectures (Transformers)
Should have expert-level prompt engineering skills and proven experience implementing RAG patterns
High proficiency in Python and standard AI/ML libraries (e.g., LangChain, LlamaIndex, LangGraph, LangSmith, Hugging Face Transformers, Scikit-learn, PyTorch/TensorFlow).
Experience implementing RAG architectures and prompt engineering.
Strong experience with fine-tuning and distillation techniques and evaluation.
Strong experience using managed AI/ML services on the target cloud platform (e.g., Azure Machine Learning Studio, AI Foundry).
Strong understanding of vector databases (e.g., Weaviate, Neo4j)
understanding of GenAI evaluation metrics (e.g., BLEU, ROUGE, perplexity, semantic similarity, human...