Senior RAG Architect - Enterprise AI Platforms

MCI Careers; Wes-Kaap; Vor Ort; ZAR 900.000 - 1.800.000; Vollzeit

Zusammenfassung

MCI Careers is seeking a Senior RAG Engineer to lead the design and optimization of Retrieval-Augmented Generation platforms powering enterprise AI solutions. The role requires expertise in semantic search, vector databases, information retrieval and Generative AI technologies.

You will provide technical leadership while ensuring knowledge retrieval systems are accurate, scalable, secure, and aligned with business needs.

Qualifikationen

• Bachelor's degree in Computer Science, Information Systems, Data Science, AI, Software Engineering, or related field.
• Minimum 5 years of software engineering experience.
• Experience designing and implementing enterprise-scale Retrieval-Augmented Generation solutions.
• Strong proficiency in Python and backend development.
• Extensive knowledge of embeddings, semantic search, vector databases, and information retrieval techniques.
• Experience building scalable retrieval, indexing, and knowledge management systems.
• Experience integrating RAG architectures with Large Language Models.

Aufgaben

• Lead the design and optimization of Retrieval-Augmented Generation platforms for enterprise AI solutions.
• Design scalable Retrieval-Augmented Generation architectures and knowledge ingestion/indexing frameworks.
• Establish retrieval standards and best practices; architect knowledge access solutions.
• Drive improvements in retrieval quality, vector search, and semantic retrieval performance.
• Develop scalable APIs and retrieval services; ensure integration with LLMs and AI workflows.
• Provide technical leadership, mentor engineers, and evaluate emerging retrieval technologies.

Kenntnisse

Python

Embeddings

Vector databases

Information retrieval

RAG architectures

Cloud infrastructure

Team leadership

Ausbildung

Bachelor's Degree

Tools

Pinecone

Weaviate

Chroma

Milvus

LangChain

LlamaIndex

Haystack

Jobbeschreibung

MCI Careers is seeking a Senior RAG Engineer to lead the design and optimization of Retrieval-Augmented Generation platforms powering enterprise AI solutions. The role requires expertise in semantic search, vector databases, information retrieval and Generative AI technologies.

You will provide technical leadership while ensuring knowledge retrieval systems are accurate, scalable, secure, and aligned with business needs.