GenAI Forward-Deployed Engineer (Remote EU)

Neon

Paris

Hybrid

EUR 90,000 - 150,000

Full time

5 days ago
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Job summary

Databricks is seeking an AI Engineer - Forward Deployed Engineer to join our AI FDE team, based near Paris with remote options for France-based candidates. You will build GenAI solutions and lead production deployments.

You will work with customers across industries, present at conferences, and collaborate with product and engineering to influence the roadmap. A strong background in ML, GenAI tooling, and cloud deployments is essential.

Qualifications

  • Min 4 years' experience in AI engineering.
  • GenAI apps including RAG and multi-agent systems.
  • Experience deploying production-grade GenAI apps.
  • Hands-on ML/Data Science with pandas, scikit-learn, PyTorch.
  • Cloud ML deployments with AWS/Azure/GCP.
  • Graduate degree in CS/Engineering or equivalent.
  • Strong communication to technical and non-technical audiences.
  • Willing to travel to see customers (4–8 weeks cadence).

Responsibilities

  • Develop cutting-edge GenAI solutions using the latest Databricks AI research.
  • Own production rollouts of GenAI applications.
  • Serve as trusted technical advisor to customers across domains.
  • Present at conferences such as Data + AI Summit and others.
  • Collaborate cross-functionally with product and engineering to shape the roadmap.

Skills

GenAI expertise
RAG
Multi-agent systems
Cloud deployments
ML tooling (pandas, scikit-learn, PyT
Communication

Education

Graduate degree in CS/Engineering or equivalent

Tools

HuggingFace
LangChain
DSPy
Apache Spark

Job description

Databricks is seeking an AI Engineer - Forward Deployed Engineer to join our AI FDE team, based near Paris with remote options for France-based candidates. You will build GenAI solutions and lead production deployments.

You will work with customers across industries, present at conferences, and collaborate with product and engineering to influence the roadmap. A strong background in ML, GenAI tooling, and cloud deployments is essential.

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