AI Developer 2
Core
Develop and fine-tune Large Language Models (LLMs) and build AI-powered applications using RAG pipelines for text generation, summarization, and question-answering.
Role type
Senior Machine Learning Engineer (NLP/LLM)
Builds
AI-powered applications with RAG pipelines and optimized LLM inference
Domain
Healthcare technology, Natural Language Processing, Generative AI
Deliverable
production ML models
Required skills
Python, Transformer architectures, RAG pipelines, Prompt engineering, Vector databases, NLP libraries (spaCy, NLTK, SentenceBERT), Model fine-tuning, Linear algebra, Gradient descent
Preferred skills
Cloud platform certifications, DevOps/MLOps certifications, Container orchestration
Technologies
Hugging Face Transformers, LangChain, OpenAI APIs, FAISS, Pinecone, Weaviate, ChromaDB, GPT, BERT, T5, LLaMA, Mistral, scikit-learn, XGBoost, LightGBM
Responsibilities
Develop and fine-tune LLMs for text generation and question-answering; Implement custom tokenization and text embedding models; Build RAG pipelines using vector databases; Work with LLM orchestration frameworks; Optimize model responses using prompt engineering; Apply dimensionality reduction and time-series forecasting techniques.
Seniority
Mid-Senior, hands-on IC