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AI Engineer - FDE (Forward Deployed Engineer)(m/w/x)
Developing GenAI applications with Databricks AI research for production rollouts. Expertise deploying production-grade GenAI applications required. Presenting at conferences, advising clients on AWS, Azure, or GCP.
Requirements
- Experience building GenAI applications (RAG, multi-agent systems, Text2SQL, fine-tuning)
- Expertise deploying production-grade GenAI applications (evaluation, optimizations)
- Extensive industry data science experience
- Experience building ML deployments on AWS, Azure, or GCP
- Graduate degree in quantitative discipline or equivalent experience
- Experience communicating technical concepts to audiences
- Passion for collaboration, lifelong learning, and driving business value
- Preferred experience with Databricks Intelligence Platform and Apache Spark
- Willingness to travel 4-8 weeks for customer visits
Tasks
- Develop cutting-edge GenAI solutions
- Incorporate latest Databricks AI research techniques
- Own production rollouts of GenAI applications
- Serve as a trusted technical advisor
- Present at conferences like Data + AI Summit
- Collaborate with product and engineering teams
- Influence product priorities and roadmap
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- GenAI
- RAG
- multi-agent systems
- Text2SQL
- fine-tuning
- HuggingFace
- LangChain
- DSPy
- machine learning
- pandas
- scikit-learn
- PyTorch
- AWS
- Azure
- GCP
- Databricks Intelligence Platform
- Apache Spark
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AI Engineer - FDE (Forward Deployed Engineer)(m/w/x)
Developing GenAI applications with Databricks AI research for production rollouts. Expertise deploying production-grade GenAI applications required. Presenting at conferences, advising clients on AWS, Azure, or GCP.
Requirements
- Experience building GenAI applications (RAG, multi-agent systems, Text2SQL, fine-tuning)
- Expertise deploying production-grade GenAI applications (evaluation, optimizations)
- Extensive industry data science experience
- Experience building ML deployments on AWS, Azure, or GCP
- Graduate degree in quantitative discipline or equivalent experience
- Experience communicating technical concepts to audiences
- Passion for collaboration, lifelong learning, and driving business value
- Preferred experience with Databricks Intelligence Platform and Apache Spark
- Willingness to travel 4-8 weeks for customer visits
Tasks
- Develop cutting-edge GenAI solutions
- Incorporate latest Databricks AI research techniques
- Own production rollouts of GenAI applications
- Serve as a trusted technical advisor
- Present at conferences like Data + AI Summit
- Collaborate with product and engineering teams
- Influence product priorities and roadmap
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- GenAI
- RAG
- multi-agent systems
- Text2SQL
- fine-tuning
- HuggingFace
- LangChain
- DSPy
- machine learning
- pandas
- scikit-learn
- PyTorch
- AWS
- Azure
- GCP
- Databricks Intelligence Platform
- Apache Spark
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Databricks
Industry
IT
Description
Databricks is the data and AI company that unifies and democratizes data, analytics, and AI for over 10,000 organizations worldwide.
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