About this role
Build a unified, permission-aware retrieval layer across various enterprise SaaS systems to power AI agents. Design hybrid retrieval pipelines combining lexical, vector, and structured search with a focus on ingestion freshness and quality evaluation.
Requires 3-5 years of experience building production search or recommendation systems with proficiency in backend languages and search engines like Elasticsearch. Must have a strong grounding in IR fundamentals, vector databases, and RAG pipeline design.
What they're looking for
Information RetrievalVector SearchRAG PipelinesLLM ReasoningPythonGoJavaOpenSearch
Frequently asked questions
What does a Senior AI Engineer (Search / Retrieval) at Workato do?
Build a unified, permission-aware retrieval layer across various enterprise SaaS systems to power AI agents. Design hybrid retrieval pipelines combining lexical, vector, and structured search with a focus on ingestion freshness and quality evaluation. Requires 3-5 years of experience building produc…
What skills does this Senior AI Engineer (Search / Retrieval) role need?
Key skills for this role include Information Retrieval, Vector Search, RAG Pipelines, LLM Reasoning, Python, Go.
How much does a Senior AI Engineer (Search / Retrieval) at Workato pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Senior AI Engineer (Search / Retrieval) role remote, hybrid, or on-site?
This role is remote ok, based in Singapore.
How do I apply for this Senior AI Engineer (Search / Retrieval) role?
You can apply directly on Workato's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.