Senior AI Engineer - FDE
Develop and productionize generative AI applications for customers while advising stakeholders and influencing product direction. The role requires extensive industry data science experience, production ML deployment expertise, graduate-level quantitative training or equivalent experience, and native Japanese with professional English.
About the job
Responsibilities
- Develop cutting-edge generative AI solutions using the latest AI techniques to solve customer problems.
- Own production rollouts of customer-facing and internal generative AI applications.
- Serve as a trusted technical advisor to customers across varied domains.
- Present at conferences and establish thought leadership internally and externally.
- Collaborate with product and engineering teams to influence priorities and shape the product roadmap.
- Communicate and teach technical concepts to both technical and non-technical audiences.
- Travel to customer sites approximately once every 4–8 weeks as needed.
Requirements
- Experience building generative AI applications, including retrieval-augmented generation, multi-agent systems, Text-to-SQL, and fine-tuning.
- Experience with Hugging Face, LangChain, and DSPy.
- Expertise deploying production-grade generative AI applications, including evaluation and optimization.
- Extensive hands-on industry data science experience using 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.
- Native-level Japanese fluency and professional working proficiency in English, written and verbal.
- Passion for collaboration, lifelong learning, and delivering business value through AI.
Nice-to-haves
- Experience using the Databricks Intelligence Platform.
- Experience using Apache Spark to process large-scale distributed datasets.
Skills
Generative AI, RAG, Multi-Agent Systems, Text-To-Sql, Fine-Tuning, Hugging Face, LangChain, Dspy, Data Science, pandas, scikit-learn, PyTorch, AWS, Azure, GCP
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