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Senior AI Engineer (Search / Retrieval)

1 hour, 41 minutes ago
Singapore
Full-time
Senior
AI Engineer
Software Development
Apache Spark AWS Azure CI/CD Elasticsearch Flink GCP Go GraphQL Java Kafka LLM NLP OAuth OpenSearch Python REST API Solr SQL
Apply Now
Workato

Workato

Workato is the Enterprise Automation Platform that enables seamless integration and automation of workflows for both business and IT teams, utilizing AI-powered technology for efficient outcomes.

IT Services
251-1K
Founded 2013
$415M raised
View All Jobs 28

Description

  • Build a unified retrieval layer across enterprise systems and expose an agent-friendly interface.
  • Design hybrid retrieval pipelines combining lexical, dense vector, and structured retrieval with re-ranking.
  • Engineer ingestion and freshness pipelines to sync millions of records with low latency and predictable cost.
  • Own permission-aware retrieval so results exactly mirror source-system access controls.
  • Build query understanding for agents, including intent parsing, entity linking, and LLM-assisted query rewriting.
  • Design chunking and embedding strategies for different content types such as documents, tickets, transcripts, and structured records.
  • Build evaluation and experimentation harnesses for retrieval quality and end-to-end agent answer quality.
  • Ship production-grade systems with strong observability, latency, freshness, recall, and cost SLOs.
  • Mentor teammates and help improve retrieval architecture, evaluation rigor, and engineering craft.

Requirements

  • 3-5 years of experience building production search, retrieval, knowledge-base, or recommendation systems.
  • Strong proficiency in at least one modern backend language such as Python, Go, or Java.
  • Hands-on experience with search engines such as OpenSearch, Elasticsearch, Solr, or Vespa, including index design and analyzers.
  • Solid grounding in IR fundamentals including TF-IDF, BM25, learning-to-rank, query parsing, and relevance evaluation.
  • Working experience with vector search and embeddings using tools such as FAISS, pgvector, Pinecone, Weaviate, Qdrant, Milvus, or native Elasticsearch/OpenSearch kNN.
  • Experience designing or contributing to RAG pipelines and semantic search systems in production.
  • Familiarity with modern NLP/LLM tooling such as transformer embeddings, cross-encoder re-rankers, prompt engineering, LangChain, LlamaIndex, or Haystack.
  • Comfort building integrations with SaaS APIs, including REST, GraphQL, webhooks, OAuth, rate limits, pagination, and incremental sync.
  • Strong intuition for ACL and permission models in enterprise systems and how to preserve them in retrieval layers.
  • Strong SQL skills, comfort with NoSQL/document stores, and experience with large-scale distributed systems.
  • Familiarity with cloud platforms such as AWS, GCP, or Azure, plus containerization and CI/CD.
  • Clear communication skills for explaining technical trade-offs to engineers, PMs, and executives.
  • Collaborative mindset with experience partnering across ML, product, security, and platform teams.
  • Quality-obsessed, detail-oriented, and comfortable driving ambiguous problems from zero to shipped.
  • Nice to have: experience with knowledge graphs, entity resolution, or cross-source identity linking.
  • Nice to have: experience tuning or fine-tuning embedding models such as sentence-transformers, BGE, or E5.
  • Nice to have: exposure to agentic AI patterns such as tool use, function calling, MCP, or multi-step retrieval planning.
  • Nice to have: experience with streaming or real-time ingestion tools such as Kafka, Flink, or Spark, and cost optimization at scale.
  • Nice to have: background in enterprise search, e-discovery, observability, or DLP.
  • Nice to have: open-source contributions, published research, or writing on retrieval, IR, or applied ML.

Benefits

  • Flexible, trust-oriented culture with strong ownership.
  • Balanced focus on productivity and self-care.
  • Vibrant and dynamic work environment.
  • Benefits that support employees inside and outside of work.
  • Recognized as the #1 best company for remote workers.

Interested in this position?

Apply directly on the company website

Apply Now

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