Overview
Remote
Depends on Experience
Full Time
No Travel Required
Skills
RAG
Data Contextualization
AI
Job Details
AI Engineer Data Contextualization (RAG)
Location: Remote
Client: Accelerant Risk Exchange | BH#7220
We re looking for an AI Engineer who can build intelligent RAG (Retrieval-Augmented Generation) systems that connect LLMs with real-world data.
You ll work on:
Implementing RAG pipelines using LLMs and vector stores (FAISS, Pinecone, Milvus).
Optimizing retrieval, embeddings, and contextual data for precision and efficiency.
Experimenting with modern architectures to improve data-driven insights.
Requirements:
Strong Python and software engineering background.
Experience with Docker, Kubernetes, and cloud-native development.
Excellent documentation and cross-team collaboration skills.
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