AI Engineer (GEnAI, AWS Bedrock, AWS AI Certification)

This job description for an
AI Engineer
focuseson the design, development, and deployment of intelligent applicationsusing Amazon Web Services (AWS), Python, and advanced LargeLanguage 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 LangChain or LangGraph. De...