Senior AI Engineer, Retrieval & Knowledge Systems

Mollkom; Riyadh; Hybrid; SAR 240,000 - 360,000; Full time

Job summary

Mollkom in Riyadh invites engineers to advance hybrid lexical/vector retrieval and task-aware reranking strategies, building a knowledge layer that connects tools and agents while respecting freshness and tenant boundaries.

You will design content segmentation, indexing, updates, provenance and versioning, enforce retrieval boundaries around permissions and data state, and measure recall, precision and source-grounded quality across Arabic and English evaluations.

Qualifications

• Practical experience in search, information retrieval or production RAG.
• Strong Python or TypeScript, SQL and search engines or vector databases.
• Understanding of embeddings, rerankers, experiments and retrieval analysis.
• Care for data quality, permission isolation and knowledge freshness.

Responsibilities

• Develop hybrid lexical/vector retrieval and task-aware reranking.
• Design content segmentation, indexing, updates, provenance and versioning.
• Enforce retrieval boundaries around user permissions, tenant scope and data state.
• Measure recall, precision and source-grounded answer quality on Arabic and English evaluations.

Skills

Practical experience in IR/RAG

Python

TypeScript

SQL

Embeddings

Rerankers

Retrieval analysis

Data quality

Tools

Search engines

Vector databases

Job description

Product information, inventory and merchant instructions should not become isolated islands. Build a knowledge layer connecting tools and agents to appropriate sources while respecting freshness and tenant boundaries.

Responsibilities

• Develop hybrid lexical/vector retrieval and task-aware reranking.
• Design content segmentation, indexing, updates, provenance and versioning.
• Enforce retrieval boundaries around user permissions, tenant scope and data state.
• Measure recall, precision and source-grounded answer quality on Arabic and English evaluations.

Qualifications

• Practical experience in search, information retrieval or production RAG.
• Strong Python or TypeScript, SQL and search engines or vector databases.
• Understanding of embeddings, rerankers, experiments and retrieval analysis.
• Care for data quality, permission isolation and knowledge freshness.

Hybrid in Riyadh, Saudi Arabia.