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Регулярные поездкиЗарплата не указанаПередовой стекЛидер индустрииВысокое влияние
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Hirify AI/Оригинал
TL;DR
AI Engineer - FDE (GenAI): Building and productionizing first-of-its-kind GenAI applications for customers with an accent on RAG, multi-agent systems, and LLMOps. Focus on developing cutting-edge AI solutions, optimizing production rollouts, and collaborating cross-functionally to influence the product roadmap.
Location: Seoul, South Korea. Willingness to travel once every 4-8 weeks to visit customers is required.
Company
Databricks is a leading data and AI company that provides the Data Intelligence Platform to unify data, analytics, and AI for thousands of organizations worldwide.
What you will do
Develop advanced GenAI solutions incorporating the latest AI research to solve complex customer problems.
Manage and own the production rollout of consumer-facing and internal GenAI applications.
Act as a trusted technical advisor to customers across diverse industry domains.
Represent the company as a thought leader at major conferences such as the Data + AI Summit.
Collaborate with product and engineering teams to shape strategic priorities and the product roadmap.
Requirements
Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, and fine-tuning.
Proficiency with tools such as HuggingFace, LangChain, and DSPy.
Extensive industry experience in data science using pandas, scikit-learn, and PyTorch.
Proven track record of deploying production-grade machine learning on AWS, Azure, or GCP.
Graduate degree in a quantitative discipline (CS, Engineering, Statistics, etc.) or equivalent practical experience.
Willingness to travel every 4-8 weeks to meet customers.
Nice to have
Experience using the Databricks Intelligence Platform and Apache Spark for large-scale distributed datasets.
Culture & Benefits
Comprehensive benefits and perks tailored to the local region.
Inclusive work environment committed to diversity, equal opportunity, and accessibility.
Opportunity to work at the forefront of GenAI and LLMOps innovation.
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