Senior AI Engineer, Agent Orchestration and Graph RAG

About the role

Improve the systems that turn source material into trustworthy answers for a consumer application, covering knowledge ingestion, retrieval, agent orchestration and production performance.

What you will do

• Build and refine agent workflows for claim analysis, retrieval, verification and answer generation
• Optimise orchestration including routing, state handling, parallel runs, retries and recovery
• Design and tune graph, SQL and vector search queries, indexing, filtering and reranking
• Create reliable ingestion pipelines with validation, entity resolution, deduplication and incremental re-indexing
• Keep source provenance and citation metadata intact while graph and vector data stay consistent
• Cut latency and cost through profiling, caching, concurrency control, model choice and context management

What they look for

• Strong Python including async programming, API development, testing, profiling and debugging
• Experience with LangGraph, LangSmith or similar orchestration systems
• Strong SQL and query optimisation skills

Nice to have

• Neo4j, Cypher, knowledge modelling or Graph RAG and graph databases
• Consumer-facing AI applications
• Multilingual or Arabic retrieval and evaluation

Benefits

• 21 paid working days a year covering vacation, personal and sick leave
• Agreed holidays including major Islamic holidays