AI Engineer

Summary

Join the AI Forward Deployed Engineering (AI FDE) team at Databricks, a specialized customer-facing team delivering professional services to build and productionize AI applications. Collaborate cross-functionally with engineering, product, and developer relations teams. This role involves developing cutting-edge GenAI solutions using techniques from Mosaic AI research, owning production rollouts of GenAI applications, and serving as a trusted technical advisor to customers. You will present at conferences and collaborate with product and engineering teams to influence priorities and shape the product roadmap. This remote position is ideal for those passionate about working with customers, teammates, and exploring the latest trends in GenAI, LLMOps, and ML.

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

Responsibilities

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic 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

Preferred Qualifications

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

Benefits

• $161,280 — $225,792 USD
• Annual performance bonus
• Equity