Senior AI Engineer

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 and CRM records
• 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 of experience building production search, retrieval, or recommendation systems
• Proficiency in Python, Go, or Java
• Hands-on experience with OpenSearch, Elasticsearch, Solr, or Vespa
• Solid grounding in IR fundamentals like TF-IDF and BM25
• Experience with vector search tools such as FAISS, Pinecone, or Weaviate
• Experience designing RAG pipelines and semantic search systems in production
• Familiarity with NLP/LLM tooling including LangChain or LlamaIndex
• Experience building integrations against SaaS APIs (REST/GraphQL)
• Understanding of enterprise ACL/permission models
• 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 or Flink
• 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.