AI Engineer - RAG (6 months Contract)

Responsibilities

·       Design and implement RAG pipelines leveraging large language models (LLMs) for advanced question answering and contextual reasoning.

·       Integrate graph-based knowledge representations (e.g., Neo4j, RDF, property graphs) into RAG workflows for enhanced semantic search and reasoning.

·       Develop custom retrievers and indexing strategies for hybrid search (vector + graph).

·       Optimize prompt engineering and context injection for LLMs using structured graph data.

·       Implement evaluation frameworks for RAG performance (precision, recall, latency).

Skills/Requirement

·       Strong proficiency in Python and frameworks like LangChain, LlamaIndex, or similar.

·       Hands-on experience with LLMs (OpenAI, Anthropic, Bedrock models).

·       Expertise in Graph Databases (Neo4j, Neptune), Schema modelling, and SPARQL/Gremlin queries.

• Strong understanding of retrieval optimization, ranking algorithms, and graph embeddings.

Interested candidates, who wish to apply for the above position, please send in your resume to: [email protected]

PERSOL Singapore Pte Ltd EA License No. 01C4394 EA Reg No: R23118975 (ABDUL RAHMAN ANSARI RAJA)

We regret to inform you that only shortlisted candidates will be contacted.

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