Applied AI Engineer - RAG & Knowledge Systems

Engineer

Applied AI Engineer – RAG & Knowledge Systems

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  • Date posted
    July 29, 2026
  • Expiration date
    October 29, 2026
  • Application ends
    October 29, 2026

We are seeking a skilledĀ Applied AI EngineerĀ to join our team on a part-time contract basis, helping to develop an internal RAG-based investor intelligence platform. You will collaborate with a dedicated engineering team in Singapore, enhancing their CRM development capabilities with your expertise in LLM applications, RAG systems, and AI workflows.

Responsibilities

  • Design and construct RAG pipelines for effective investor intelligence retrieval.
  • Extract structured insights from various unstructured data sources, including meeting notes and CRM records.
  • Develop retrieval workflows utilizing embeddings, vector search, and metadata filtering.
  • Architect knowledge systems across semantic search and potentially graph-based frameworks.
  • Assess the need for knowledge graphs and relationship mapping within the system.
  • Enhance retrieval accuracy and ensure reliable source attribution.
  • Conduct evaluations to measure retrieval and answer quality, and minimize hallucination risks.
  • Collaborate with the CRM engineering team to integrate AI workflows into existing tools.
  • Facilitate future capabilities in recommendations and institutional memory.
  • Communicate technical decisions clearly in a remote, asynchronous environment.

Required Skills

  • Proven experience in building and deploying production LLM-powered applications.
  • Expertise in designing and implementing Retrieval-Augmented Generation systems.
  • Strong knowledge in knowledge architecture and graph-based systems.
  • Proficiency in extracting intelligence from unstructured business data.
  • Ability to evaluate AI system quality and reliability.
  • Competence in backend and data engineering to integrate AI workflows.
  • Sound judgment in assessing LLM reliability and potential risks.

Nice to Have

  • Background in financial services, private markets, or fintech.
  • Experience with CRM platforms and relationship intelligence tools.
  • Familiarity with human-in-the-loop AI workflows and model monitoring.
  • Experience working with graph databases such as Neo4j.
  • Knowledge of APAC or Singapore-based team dynamics.
  • Strong asynchronous communication skills.
  • Are you interested in this position?

     

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