Generative AI Frontline Engineer (Remote France)

Hidden Jobs

United States

Remote

USD 115,000 - 207,000

Full time

11 days ago
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Benefits offered by this job

Region-specific benefits
Remote work within France

Job summary

Databricks is seeking a hands-on GenAI engineer to design and deploy next-generation AI solutions for clients, blending research with practical delivery. You will lead production rollouts, advise on architecture, and collaborate across product and engineering teams to influence GenAI roadmaps, while traveling to meet customers as needed.

The role requires a strong data science background, experience with HuggingFace, LangChain, DSPy, and cloud ML deployments on AWS/Azure/GCP, and the ability to

Qualifications

  • Hands-on experience building GenAI applications and production-grade ML systems.
  • Strong background in data science using pandas, scikit-learn, and PyTorch.
  • Experience deploying GenAI solutions on AWS, Azure, or GCP.

Responsibilities

  • Design and build generative AI solutions using state-of-the-art techniques.
  • Lead end-to-end production rollouts of GenAI apps for customers and internal use.
  • Advise on architecture and implementation choices across customer domains.
  • Represent work at industry conferences and contribute to thought leadership.
  • Partner with product and engineering teams to influence roadmaps with field insights.

Skills

GenAI development
ML deployment
Cloud ML
Technical communication

Education

Graduate degree in quantitative field

Tools

HuggingFace
LangChain
DSPy

Job description

Databricks is seeking a hands-on GenAI engineer to design and deploy next-generation AI solutions for clients, blending research with practical delivery. You will lead production rollouts, advise on architecture, and collaborate across product and engineering teams to influence GenAI roadmaps, while traveling to meet customers as needed.

The role requires a strong data science background, experience with HuggingFace, LangChain, DSPy, and cloud ML deployments on AWS/Azure/GCP, and the ability to

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