Qualifications:

  • ​​Required hands-on experience designing and implementing applications using Large Language Models (LLM). More specifically:
  • Python programming.
  • Google Gemini, 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).
  • The ideal candidate will also have experience in one or more of the following:Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • LLM model fine-tuning.
  • Embedding model fine tuning.
  • Shell scripting.
  • Google Cloud Vertex AI (AutoML, AI APIs, etc.).
  • Classic Machine Learning (ML frameworks, neural net models development, training, tuning, serving).
  • MLOps (ideally on GCP).
  • Data Engineering (including SQL).

Personal Attributes:

  • Strong ethics.
  • Strong technical aptitude.
  • Engineering mindset/developer background.
  • Strong sense of ownership and teamwork.
  • Curious, always learning to get better.
  • Enjoys working with clients.
  • Excellent communication skills.

Job Summary

CompanyEgen
LocationRemote
TypeFull-Time
LevelMid-level
DomainAI / Data Science