Source description
About the role
Role Overview We are looking for a highly skilled Senior AI Engineer with hands-on experience in building and deploying AI/ML solutions using Large Language Models (LLMs) . The ideal candidate will have strong expertise in Python, distributed data processing (PySpark), and modern AI frameworks , with a proven ability to design scalable and production-grade AI systems. Required Skills 5+ years of experience in AI/ML Engineering or Data Science Strong programming expertise in Python Hands-on experience with LLMs (GPT, LLaMA, Mistral, etc.) Experience with PySpark for large-scale data processing Solid understanding of NLP concepts and transformer architectures Experience with: LangChain / LlamaIndex Vector databases (FAISS, Pinecone, Weaviate) REST APIs / FastAPI Knowledge of model deployment (Docker, Kubernetes, APIs) Key Responsibilities Design, develop, and deploy AI/ML models with a focus on LLMs (GPT, LLaMA, etc.) Build and optimize LLM-based applications such as chatbots, summarization, and semantic search systems Work with large-scale datasets using PySpark for data processing and feature engineering Implement RAG (Retrieval-Augmented Generation) pipelines using vector databases Fine-tune and evaluate LLMs using frameworks like Hugging Face / OpenAI APIs Develop scalable backend services using Python (FastAPI/Flask) Collaborate with data engineers and product teams to deliver end-to-end AI solutions Ensure model performance, monitoring, and continuous improvement in production Stay updated with the latest advancements in Generative AI and LLM ecosystems
More at Cloudangles