What are the responsibilities and job description for the Junior LLM Engineer position at Emonics LLC?
Job description
About the role
We are looking for a Generative AI Engineer to help build applications powered by large language models (LLMs). You will help create prompt workflows, retrieval-augmented generation (RAG) pipelines, and AI features that deliver business value safely and reliably.
What you will do
• Build GenAI prototypes and production features using LLM APIs and open-source models
• Develop prompt strategies and evaluate outputs for quality and consistency
• Implement RAG using vector databases and document pipelines
• Create automated tests and evaluation approaches for GenAI responses
• Work on responsible AI practices (privacy, safety, bias mitigation)
What you are looking for
• Strong Python skills and comfort with APIs
• Understanding of NLP fundamentals and basic ML concepts
• Ability to write clean code and iterate quickly
Nice to have
• Familiarity with LangChain or LlamaIndex (or similar orchestration tools)
• Experience with vector databases (Pinecone, Weaviate, FAISS, Chroma)
• Basic knowledge of embeddings, token limits, context windows, and prompt injection risks
• Cloud and Docker exposure