AI Forward Deployed Engineer - Netherlands

Cacheflow

Amsterdam

On-site

EUR 120,000 - 180,000

Full time

13 days ago
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Job summary

Databricks in Amsterdam seeks an AI Engineer - FDE to join the AI Forward Deployed Engineering team. You will design and productionize GenAI applications for customers, leveraging the latest Databricks AI research and tools.

You will own the production rollouts, act as a trusted technical advisor, and collaborate with product/engineering to shape the roadmap. Travel to see customers every 4–8 weeks as needed.

Qualifications

  • Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning.
  • Experience deploying production-grade GenAI applications and optimizations.
  • Hands-on industry data science experience with common ML tools (pandas, scikit-learn, PyTorch).
  • Experience deploying ML deployments on AWS, Azure, or GCP.
  • Graduate degree in a quantitative discipline or equivalent practical experience.

Responsibilities

  • Develop cutting-edge GenAI solutions using Databricks AI research to solve customer problems.
  • Own production rollouts of GenAI applications.
  • Act as trusted technical advisor to customers across multiple domains.
  • Present at conferences and contribute to internal and external thought leadership.
  • Collaborate with product and engineering to influence priorities and roadmap.

Skills

GenAI applications
RAG
multi-agent systems
Text2SQL
fine-tuning
HuggingFace
LangChain
DSPy
production-grade deployments
AWS/Azure/GCP

Education

Graduate degree in CS/Engineering/Statistics or equivalent

Tools

HuggingFace
LangChain
DSPy
PyTorch
scikit-learn
pandas

Job description

AI Engineer - FDE (AI Forward Deployed Engineer)
Req ID: CSQ427R333
Location: Amsterdam, Netherlands - Candidates to be based in the Netherlands region only (no remote working available from any other country)
Mission

The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly.

Reporting to: Senior Manager - AI FDE, EMEA

The impact you will have:
  • 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
What we look for:
  • 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
  • [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets
  • Willing to travel once every 4-8 weeks to see customers (as needed)
About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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