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AI Engineer – Forward Deployed Engineering (AI FDE)

Databricks Mosaic · United States · Remote - California

CHECKED 13H AGO

Infrastructureremoteexperienced$153k–$210k
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At a glance

Highlights

  • Build and productionize first-of-its-kind GenAI applications for customers.
  • Own production rollouts of consumer and internal GenAI applications.
  • Present at Data + AI Summit as a recognized thought leader.

What they offer

  • Annual performance bonus
  • Equity
  • Comprehensive benefits

Ideal candidate

Customer-obsessed experienced engineer who loves GenAI and solving real problems alongside customers and teammates. Collaborative, curious life-long learner passionate about production impact and sharing ideas.

Requirements

  • Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL and fine-tuning
  • Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
  • Extensive hands-on industry data science experience with pandas, scikit-learn, PyTorch, etc.
  • Experience building production-grade ML deployments on AWS, Azure, or GCP
  • Graduate degree in quantitative discipline or equivalent practical experience
  • Experience communicating technical concepts to technical and non-technical audiences
  • Willing to travel once every 4-8 weeks to see customers as needed
  • Preferred experience with Databricks Intelligence Platform and Apache Spark for large-scale datasets
remote policy
Open to remote locations

Lab profile

About Databricks Mosaic

Builds unified data analytics and AI platform to productionize AI applications.

What they build

  • Databricks platform
  • Unified Data Analytics and AI
  • AI platform

Known for

  • Forward-deployed AI engineering
  • Productionizing first-of-kind AI applications
  • Customer platform adoption and scale
  • Cross-functional engineering and product collaboration
More about Databricks Mosaic →
Apply on the lab’s site ↗