# AI Engineer - FDE (Forward Deployed Engineer)

**Company**: Databricks
**Location**: Munich, Germany
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8560393002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4e50aa93-99d

## Description

Job Title: AI Engineer - FDE (Forward Deployed Engineer)

We are seeking an experienced AI Engineer to join our Forward Deployed Engineering (FDE) team in Munich, Germany. As an AI Engineer, you will be responsible for developing cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems.

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

Preferred Qualifications:

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

- Willingness to travel once every 4-8 weeks to see customers (as needed)

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, please 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.

## Skills

### Required
- GenAI
- HuggingFace
- LangChain
- DSPy
- pandas
- scikit-learn
- PyTorch
- AWS
- Azure
- GCP
- Apache Spark

### Nice to have
- Databricks Intelligence Platform
- Lakehouse
- Delta Lake
- MLflow

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8560393002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)