AI Engineer - FDE (Forward Deployed Engineer)

Databricks
Tokyo
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Collaboration","Life-long learning","Communicating technical concepts","Teaching technical concepts","Driving business value"]

Build and productionize GenAI applications for customers as part of the customer-facing AI Forward Deployed Engineering team. Develop solutions using approaches like RAG, multi-agent systems, Text2SQL, and fine-tuning, then own production rollouts and their evaluation/optimizations. Serve as a trusted technical advisor, collaborate with product and engineering to influence the roadmap, and present at major industry events.

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FursaFursa
Databricks
Databricks
4 days ago

AI Engineer - FDE (Forward Deployed Engineer)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Build and productionize GenAI applications for customers as part of the customer-facing AI Forward Deployed Engineering team. Develop solutions using approaches like RAG, multi-agent systems, Text2SQL, and fine-tuning, then own production rollouts and their evaluation/optimizations. Serve as a trusted technical advisor, collaborate with product and engineering to influence the roadmap, and present at major industry events.
Location: Tokyo
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Develop cutting-edge GenAI solutions using Databricks AI research techniques to solve customer problems.
  • •Own production rollouts of consumer and internally facing GenAI applications.
  • •Serve as a trusted technical advisor to customers across a variety of domains.
  • •Present at conferences (e.g., Data + AI Summit) as an internal and external thought leader.
  • •Collaborate cross-functionally with product and engineering teams to influence priorities and shape the product roadmap.
Travel: Medium travel

Key Requirements

  • •Experience building GenAI applications such as RAG, multi-agent systems, Text2SQL, and fine-tuning using tools like HuggingFace, LangChain, and DSPy.
  • •Expertise deploying production-grade GenAI applications, including evaluation and optimizations.
  • •Extensive hands-on data science experience using common ML/data science tools such as pandas, scikit-learn, and PyTorch.
  • •Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
  • •Graduate degree in a quantitative discipline or equivalent practical experience.
Education:Master's
Skills:CollaborationLife-long learningCommunicating technical conceptsTeaching technical conceptsDriving business value
Languages:JapaneseEnglish
Tech Stack:HuggingFaceLangChainDSPyRAGMulti-agent systemsText2SQLFine-tuningPandasScikit-learnPyTorchAWSAzureGCPDatabricks Intelligence PlatformApache Spark

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn