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Squirro
Squirro
51 – 200 Employees
Artificial IntelligenceEnterpriseFintech
Squirro develops enterprise generative AI software for search, workflow automation, and knowledge management. Its platform combines insight engines, data classification, and integrations with tools such as Confluence, SharePoint, and Salesforce to help organizations organize information and support decisions across risk, service, and sales management. Founded in 2013, Squirro operates at the intersection of artificial intelligence, enterprise software, and fintech, with a focus on secure, privacy-conscious solutions for business teams.
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Forward Deployed Engineer in Singapore (Hybrid)

Implement Squirro’s enterprise AI search, RAG, and insights platform for regulated-industry customers. Deliver tailored solutions across Singapore and the wider APAC region.

SGSingaporeHybridFull-timeMiddleSeniorEnglish RequiredEngineer
AWSAzureCloudElasticSearchJavaScriptLinuxPython

Description

  • Implement and scale AI search, RAG, and insights solutions with enterprise customers across Singapore and APAC
  • Lead customer discovery, implementation, deployment, and ongoing technical support
  • Assess business needs, data environments, and technical requirements
  • Turn business and data needs into scalable, production-ready solutions
  • Configure and improve AI search and RAG platforms
  • Build ingestion and integration pipelines for structured and unstructured enterprise data
  • Create custom components, integrations, and extensions with Python and JavaScript
  • Develop tailored LLM applications and conversational experiences
  • Configure enterprise search with platforms such as Elasticsearch and OpenSearch
  • Use Knowledge Graphs, LLMs, NLP, and machine learning to strengthen retrieval, automation, search, and insight generation
  • Support deployments across Linux, cloud, hybrid, and on-premise environments
  • Diagnose customer environments and assist with production deployments
  • Deliver technical guidance and customer training
  • Work with Product and Engineering on customer feedback, product enhancements, reusable solution patterns, and best practices

Requirements

  • At least five years of experience in a customer-facing technical position such as Solutions Engineer, Forward Deployed Engineer, or Technical Consultant
  • Hands-on Python and/or JavaScript development experience, including sound software engineering practices
  • Experience working with structured and unstructured data, including ingestion, transformation, and integration
  • Experience with enterprise search systems such as Elasticsearch, OpenSearch, or comparable platforms
  • Working knowledge of Generative AI, LLMs, RAG, and AI integration patterns
  • Experience designing, developing, or deploying LLM-based chat or search applications
  • Experience with REST APIs, backend integrations, and third-party systems
  • Familiarity with Linux environments and production issue resolution
  • Experience with AWS, Azure, or Google Cloud and with hybrid or on-premise environments
  • Strong communication and consulting capabilities
  • Ability to communicate complex technical ideas to both technical and non-technical stakeholders
  • Ability to manage several customer engagements and technical workstreams independently
  • Knowledge Graph experience, especially with RDF or SKOS, is desirable
  • Experience with NLP, text analytics, semantic search, embeddings, or machine learning is desirable
  • Familiarity with vector search, hybrid search, reranking, or modern retrieval architectures is desirable
  • Experience in regulated enterprise settings such as banking, financial services, insurance, or government is desirable
  • Experience supporting customers in Singapore and APAC is desirable
  • Experience with Squirro or other cognitive search and enterprise AI platforms is desirable

Benefits

  • Work on enterprise RAG, search, and Generative AI implementations with real-world impact
  • Own customer solutions from initial discovery through production
  • Collaborate with experienced AI, Search, Product, and Engineering teams
  • Continue developing expertise with emerging AI and search technologies
  • Work in a fast-paced environment where individual contributions are visible
  • Join a globally distributed team
  • Partner with enterprise customers across Singapore and APAC

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