The company is looking to explore the integration of large language models (LLMs) with data products to innovate next-generation solutions for data querying and analytics, aiming to deliver end-to-end solutions that rival the capabilities of human engineers and analysts.
Requirements
- Familiarity with data products, including foundational knowledge of data production, querying, and analytics, as well as related ecosystems.
- Solid understanding of concepts and technologies in LLM application development (e.g., prompt engineering, knowledge retrieval, agentic systems, benchmarking); hands-on experience is a strong plus.
- Proficiency in Python and other programming languages, with strong coding skills.
- Proven experience in data product development or domain-specific data analysis.
- In-depth understanding and hands-on experience in areas such as LLM fundamentals, fine-tuning, evaluation, and application ecosystems.
Responsibilities
- Actively contribute to the development and iteration of intelligent data products.
- Continuously analyze user feedback, build business insights, and apply technical expertise to identify and resolve issues.
- Closely monitor, learn, and adopt cutting-edge industry technologies.
Other
- Agile, cross-functional team environment.
- Inspire creativity and bring joy.
- Lead with curiosity, humility, and a desire to make impact.
- Embrace challenges as they come.
- Fostering an "Always Day 1" mindset.
