Job Description:
This job description for an
AI Engineer
focuses on the design, development, and deployment of intelligent applications using
Amazon Web Services (AWS) , Python, and advanced Large Language Model (LLM) techniques like Retrieval-Augmented Generation (RAG).
Core Responsibilities LLM Integration & Orchestration : Design and build production-grade applications leveraging LLMs from providers like Amazon Bedrock (e.g., Anthropic Claude, Amazon Nova) or open-source models (Llama, Mistral). RAG Pipeline Development : Implement and optimize Retrieval-Augmented Generation (RAG) workflows, including document parsing, semantic chunking, and embedding generation. Vector Database Management : Manage and query vector stores such as Amazon OpenSearch Service, Pinecone, or FAISS to enable efficient semantic retrieval. Agentic Workflows : Develop autonomous AI agents capable of tool-calling, multi-step reasoning, and complex task orchestration using frameworks like LangCha...