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Squirro

Forward Deployed Engineer

Squirro

. Work directly with enterprise customers across Singapore and APAC to implement, customize, and scale AI-powered search, RAG, and insights solutions .

Posted 10/1/2026full-timeSingapore • SingaporeMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in implementing and customizing AI-powered search and insights solutions, with a strong focus on Python and JavaScript development, enterprise search technologies, and customer engagement across diverse environments. Proficient in translating complex business and data requirements into scalable solutions while providing technical guidance and support.

Highest-signal resume keywords
Python DevelopmentJavaScript DevelopmentElasticsearchAI Integration PatternsCustomer Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI-Powered SearchData IngestionData TransformationLLM-Powered ApplicationsREST APIsNLPMachine LearningKnowledge GraphsProduction TroubleshootingCloud Environments
Soft Skills
Strong CommunicationConsulting SkillsStakeholder EngagementIndependent Management
Tools & Technologies
OpenSearchAWSAzureGoogle CloudLinux
Industry Keywords
Enterprise SearchCognitive SearchRegulated EnvironmentsBankingFinancial Services

Tech Stack

Tools & technologies
AWSAzureCloudElasticSearchJavaScriptLinuxPython

About the role

Key responsibilities & impact
  • Work directly with enterprise customers across Singapore and APAC to implement, customize, and scale AI-powered search, RAG, and insights solutions
  • Conduct discovery, implementation, deployment, and ongoing customer support
  • Understand business challenges, data landscapes, and technical requirements
  • Translate business and data requirements into scalable, production-ready solutions
  • Configure and optimize AI-powered search and RAG platforms
  • Design and implement ingestion and integration pipelines for structured and unstructured enterprise data
  • Build custom components, integrations, and extensions using Python and JavaScript
  • Develop and customize LLM-powered applications and chat experiences
  • Configure enterprise search using technologies such as Elasticsearch and OpenSearch
  • Apply Knowledge Graphs, LLMs, NLP, and machine learning to improve search, retrieval, automation, and insight generation
  • Support deployments across Linux, cloud, hybrid, and on-premise environments
  • Troubleshoot customer environments and support production deployments
  • Provide technical guidance and training
  • Partner with Product and Engineering teams on customer feedback, product improvements, reusable solution patterns, and best practices

Requirements

What you’ll need
  • 5+ years of experience in a customer-facing technical role such as Solutions Engineer, Forward Deployed Engineer, Technical Consultant, or similar
  • Strong hands-on experience with Python and/or JavaScript and software development best practices
  • Experience with structured and unstructured data, including data ingestion, transformation, and integration
  • Experience with enterprise search technologies such as Elasticsearch, OpenSearch, or similar platforms
  • Practical understanding of Generative AI, LLMs, RAG, and AI integration patterns
  • Experience designing, building, or deploying LLM-powered chat or search applications
  • Experience with REST APIs, backend integrations, and third-party systems
  • Familiarity with Linux environments and production troubleshooting
  • Experience with AWS, Azure, or Google Cloud, as well as hybrid or on-premise environments
  • Strong communication and consulting skills
  • Ability to explain complex technical concepts to technical and non-technical stakeholders
  • Ability to independently manage multiple customer engagements and technical workstreams
  • Experience with Knowledge Graph technologies, particularly RDF or SKOS, is nice to have
  • Experience with NLP, text analytics, semantic search, embeddings, or machine learning is nice to have
  • Familiarity with vector search, hybrid search, reranking, or modern retrieval architectures is nice to have
  • Experience in regulated enterprise environments such as banking, financial services, insurance, or government is nice to have
  • Experience supporting customers across Singapore and APAC is nice to have
  • Experience with Squirro or other cognitive search / enterprise AI platforms is nice to have

Benefits

Comp & perks
  • Work directly on real-world enterprise RAG, search, and Generative AI implementations
  • Meaningful ownership of customer solutions from discovery through production
  • Collaboration with experienced AI, Search, Product, and Engineering teams
  • Continuous learning and work with emerging AI and search technologies
  • Fast-moving environment with visible individual impact
  • Global team environment
  • Work with enterprise customers across Singapore and APAC