AI Knowledge & RAG Engineer

Job Title: AI Knowledge & RAG Engineer

Location: Remote

We are looking for an AI Knowledge & RAG Engineer to design and build AI-powered knowledge solutions using Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) and vector databases.

Responsibilities

* Build and maintain RAG pipelines for enterprise knowledge.

* Integrate LLMs with documents databases APIs and internal systems.

* Design document ingestion chunking embedding and retrieval workflows.

* Work with vector databases and semantic search.

* Improve response accuracy relevance and performance.

* Implement AI security access controls monitoring and evaluation.

* Collaborate with engineering DevOps security and business teams.

Required Skills

* Python and REST APIs.

* LLMs RAG embeddings and prompt engineering.

* Vector databases such as Pinecone OpenSearch FAISS Weaviate or similar.

* AWS/Azure/GCP AI services.

* Experience with frameworks such as LangChain or LlamaIndex.

* Git CI/CD Docker and cloud deployment experience.

Preferred: Experience with Amazon Bedrock Azure OpenAI Claude knowledge graphs or enterprise AI platforms.

Thanks

Required Skills:

AI KnowledgeRAG EngineerLarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)vector databasesPythonREST APIsLLMsembeddingsprompt engineeringPineconeOpenSearchFAISSWeaviateAWSAzureGCPAI servicesLangChainLlamaIndexGitCI/CDDockercloud deploymentAmazon BedrockAzure OpenAIClaudeknowledge graphsenterprise AI platforms