Evergreen - AI Engineer, AI FDE

The role

You will develop LLM solutions on customer data and build, scale, and optimize customer data science workloads. You will also advise data teams on architecture and tooling while collaborating with product and engineering teams.

What you will do

• Develop LLM solutions on customer data such as RAG architectures, querying structured data, and content generation
• Build, scale, and optimize customer data science workloads and apply MLOps to productionize them
• Advise data teams on architecture, tooling, and best practices
• Present at conferences such as Data+AI Summit
• Provide technical mentorship to the larger ML SME community in Databricks
• Collaborate cross-functionally with product and engineering teams to influence the product roadmap

Required qualifications

• Experience building Generative AI applications, including RAG, agents, text2sql, fine-tuning, and deploying LLMs, with tools such as HuggingFace, Langchain, and OpenAI
• 5+ years of hands-on industry data science experience, leveraging typical machine learning and data science tools including pandas, scikit-learn, and TensorFlow/PyTorch
• 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

Nice to have

• Experience working with Databricks & Apache Spark to process large-scale distributed datasets

About the company

Databricks is the Data and AI company. More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.