AI Engineer - FDE
Build and productionize generative AI applications for customers, advise stakeholders, and influence product direction. The role requires hands-on data science and machine learning deployment experience, strong communication skills, and a graduate quantitative degree or equivalent experience.
About the job
Responsibilities
- Develop cutting-edge generative AI solutions using the latest techniques from AI research to solve customer problems.
- Own production rollouts of consumer-facing and internal generative AI applications.
- Serve as a trusted technical advisor to customers across varied domains.
- Present at conferences and act as a thought leader internally and externally.
- Collaborate with product and engineering teams to influence priorities and shape the product roadmap.
- Travel to customer sites approximately once every 4–8 weeks as needed.
Requirements
- Experience building generative AI applications, including retrieval-augmented generation (RAG), multi-agent systems, Text-to-SQL, and fine-tuning.
- Expertise deploying production-grade generative AI applications, including evaluation and optimization.
- Extensive hands-on industry data science experience with common machine learning and data science tools.
- Experience building production-grade machine learning deployments on AWS, Azure, or Google Cloud.
- Graduate degree in a quantitative discipline such as Computer Science, Engineering, Statistics, or Operations Research, or equivalent practical experience.
- Ability to communicate and teach technical concepts to both technical and non-technical audiences.
- Strong collaboration skills, continuous-learning mindset, and focus on delivering business value through AI.
Nice to Have
- Experience with the Databricks Intelligence Platform.
- Experience with Apache Spark for processing large-scale distributed datasets.
Skills
Generative AI, RAG, Multi-Agent Systems, Text-To-Sql, Fine-Tuning, Hugging Face, LangChain, Dspy, pandas, scikit-learn, PyTorch, AWS, Azure, GCP, Spark
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