Senior AI Engineer at Workato - ScoutJobs - The AI-curated global job board
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Posted 7 hours ago

Senior AI Engineer

WorkatoSenior AI Engineer (Search/Retrieval)

Requirements

3-5 years in production search or retrieval systems, Proficiency in Python, Go, or Java, Experience with OpenSearch, Elasticsearch, or Vespa, Knowledge of vector search and embeddings, Experience with RAG pipelines, Familiarity with LLM frameworks like LangChain or LlamaIndex, Strong SQL and distributed systems skills

Skills

PythonElasticsearchLLMVector Search

About the role

Responsibilities

  • Build a unified retrieval layer across enterprise systems like Google Drive, SharePoint, and Salesforce
  • Design hybrid retrieval pipelines combining lexical, dense vector, and structured retrieval
  • Engineer ingestion and freshness pipelines for millions of documents with low latency
  • Own permission-aware retrieval to ensure ACL preservation across all sources
  • Build query understanding for agents including intent parsing and entity linking
  • Design chunking and embedding strategies tailored to various content types
  • Build evaluation and experimentation harnesses using metrics like NDCG and MRR
  • Ship production-grade, observable systems with strong SLOs
  • Mentor teammates on retrieval architecture and engineering craft

Requirements

  • 3-5 years building production search, retrieval, or recommendation systems
  • Proficiency in Python, Go, or Java
  • Experience with search engines like OpenSearch, Elasticsearch, or Vespa
  • Solid grounding in IR fundamentals such as BM25 and learning-to-rank
  • Working experience with vector search and embeddings (FAISS, Pinecone, Weaviate, etc.)
  • Experience designing RAG pipelines and semantic search systems in production
  • Familiarity with NLP/LLM tooling like LangChain, LlamaIndex, or Haystack
  • Experience building integrations against SaaS APIs (REST/GraphQL)
  • Understanding of ACL/permission models in enterprise systems
  • Strong SQL skills and experience with large-scale distributed systems
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization

Preferred Qualifications

  • Experience with knowledge graphs and entity resolution
  • Experience fine-tuning embedding models
  • Exposure to agentic AI patterns like tool use and function calling
  • Experience with streaming ingestion using Kafka, Flink, or Spark
  • Background in enterprise search, e-discovery, or DLP

About the Company

Workato delivers enterprise infrastructure for the agentic era, helping enterprises unify data, applications, processes, and AI into a single, governed platform. Trusted by 50% of the Fortune 500, Workato provides the foundation for organizations to automate with confidence and operationalize AI across the business.

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Senior AI Engineer

Workato · Singapore

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