JobHabor

Sr. AI Engineer - FDE (Forward Deployed Engineer)

Databricks

Location
US
Workplace
Remote
Employment
Full Time
Salary
USD 182,000–250,208/yr
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Posted 20d ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Responsibilities

  • Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research 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 such as Data + AI Summit, recognized as a thought leader internally and externally
  • Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap

Requirements

  • Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
  • Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
  • Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
  • Experience building production-grade machine learning deployments on AWS, Azure, or GCP
  • Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
  • Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
  • Passion for collaboration, life-long learning, and driving business value through AI
  • Willing to travel once every 4-8 weeks to see customers (as needed)

Preferred

  • Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets

Skills

  • GenAI
  • RAG
  • multi-agent systems
  • Text2SQL
  • fine-tuning
  • HuggingFace
  • LangChain
  • DSPy
  • pandas
  • scikit-learn
  • PyTorch
  • AWS
  • Azure
  • GCP
  • Databricks Intelligence Platform
  • Apache Spark

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