AI Engineer - FDE (Forward Deployed Engineer)

Databricks
Boston, California
Workplace: RemoteFull timeUSD 152,900 - 210,155 annuallyFunction: Data Science & Machine LearningEducation: mastersSkills: ["Collaboration","Communication","Life-long learning","Business value focus","Technical advising"]

Build and deploy production GenAI and LLM applications for customers as part of the AI Forward Deployed Engineering team. Own rollouts of consumer and internal GenAI applications, advise customers across domains, and contribute to long-term priorities by collaborating with product and engineering. Use state-of-the-art techniques like RAG, multi-agent systems, Text2SQL, fine-tuning, and production evaluation/optimization, with tools such as HuggingFace, LangChain, and DSPy. Present technical insights at major conferences.

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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: 20 hours agoStatus: Closed

Job Summary

Build and deploy production GenAI and LLM applications for customers as part of the AI Forward Deployed Engineering team. Own rollouts of consumer and internal GenAI applications, advise customers across domains, and contribute to long-term priorities by collaborating with product and engineering. Use state-of-the-art techniques like RAG, multi-agent systems, Text2SQL, fine-tuning, and production evaluation/optimization, with tools such as HuggingFace, LangChain, and DSPy. Present technical insights at major conferences.
Location: Boston, California
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop cutting-edge GenAI solutions to solve customer problems using techniques from Databricks AI research.
  • •Own production rollouts of consumer and internally facing GenAI applications.
  • •Serve as a trusted technical advisor to customers across a variety of domains.
  • •Collaborate cross-functionally with product and engineering to influence priorities and shape the product roadmap.
  • •Present at conferences and serve as a thought leader internally and externally.
Travel: Medium travel

Pay and Benefits

Salary: USD 152,900 - 210,155 annually
Equity and Bonus:Equity

Key Requirements

  • •Experience designing, building, and deploying production GenAI and LLM applications at scale.
  • •Hands-on industry data science experience using tools such as pandas, scikit-learn, and PyTorch.
  • •Build GenAI applications including RAG, multi-agent systems, Text2SQL, and fine-tuning using tools such as HuggingFace, LangChain, and DSPy.
  • •Deploy production-grade GenAI applications with evaluation and optimization.
  • •Graduate degree in a quantitative discipline or equivalent practical experience.
Experience:GenAILLMOpsMachine LearningData Science
Education:Master's
Skills:CollaborationCommunicationLife-long learningBusiness value focusTechnical advising
Languages:English
Tech Stack:GenAILLMRAGMulti-agent systemsText2SQLFine-tuningHuggingFaceLangChainDSPyPandasScikit-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