GenAI Field Engineer - Production Apps & Impact

Cacheflow; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Databricks is seeking an AI Engineer - FDE (Forward Deployed Engineer) in London to deliver top-tier GenAI solutions for customers. You will own production rollouts of GenAI apps and serve as a trusted technical advisor across multiple domains, collaborating with product and engineering to shape the roadmap.

You will bring hands-on data science experience (Pandas, scikit-learn, PyTorch) and deploy GenAI on cloud platforms. Willingness to travel every 4-8 weeks is expected.

Qualifications

• Experience building GenAI applications including RAG and multi-agent systems.
• Experience deploying production-grade GenAI applications.
• Hands-on data science experience with common ML tools (pandas, scikit-learn, PyTorch).
• Experience deploying ML on AWS/Azure/GCP.
• Graduate degree in CS/Engineering/Statistics or equivalent.
• Ability to communicate technical concepts to diverse audiences.
• Willing to travel to see customers every 4-8 weeks.

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 product and engineering to influence priorities and roadmap.

Skills

GenAI applications

RAG

Multi-agent systems

Text2SQL

Fine-tuning

HuggingFace

LangChain

DSPy

MLOps on cloud

Education

Graduate degree in quantitative field or equivalent

Tools

HuggingFace

LangChain

DSPy

PyTorch

Pandas

scikit-learn

Job description

Databricks is seeking an AI Engineer - FDE (Forward Deployed Engineer) in London to deliver top-tier GenAI solutions for customers. You will own production rollouts of GenAI apps and serve as a trusted technical advisor across multiple domains, collaborating with product and engineering to shape the roadmap.

You will bring hands-on data science experience (Pandas, scikit-learn, PyTorch) and deploy GenAI on cloud platforms. Willingness to travel every 4-8 weeks is expected.