Skills

• • Required hands-on experience with design and implementation of applications using Large Language Models (LLM). More specifically:
  • Python programming.
  • Google PaLM, OpenAI GPT, LLaMA, or similar models.
  • LangChain, LlamaIndex, or similar frameworks.
  • Advanced prompt engineering.
  • Retrieval Augmented Generation (RAG).
  • Vector databases (GCP Vector Search, ChromaDB, Pinecone, pgvector, or similar).
  • Ideal candidate will also have experience in one or more of the following:
  • LLM model fine tuning.
  • Embeddings model fine tuning.
  • Shell scripting.
  • Google Cloud Vertex AI (AutoML, AI APIs, etc.).
  • Classic Machine Learning (Client frameworks, neural net models development, training, tuning, serving).
  • MLOps (ideally on GCP).
  • Data Engineering.

Personal Attributes

• • Strong ethics
  • Strong technical aptitude
  • Engineering mindset/developer background
  • Strong sense of ownership and teamwork
  • Curious, always learning to get better