RAG Engineer

RAG Engineer focuses on develop retrieval-augmented generation (rag) systems by integrating large language models (llms) with external data sources.

What the role involves

• Develop Retrieval-Augmented Generation (RAG) systems by integrating large language models (LLMs) with external data sources.
• Build semantic search architectures using techniques such as embeddings, indexing, and advanced query mechanisms.
• Collaborate with cross-functional teams to ensure scalable and efficient solutions.
• If you’re passionate about the intersection of AI and information retrieval, and want to contribute to cutting-edge semantic technologies, we’d love to connect with you.

Skills and requirements

• Relevant technical, electrical, mechanical, maintenance, gas, plumbing, or engineering experience may be required.

Candidate fit

• Technical judgement, safe working habits, careful diagnostics, and practical problem-solving.

Additional role context

• At 5411 Hub, a consulting firm specialized in IT recruitment, we are currently seeking a RAG Engineer.
• Semantic Search Specialist to work remotely for a leading technology client based in the United States.