Principal Applied Scientist (AI)

TL;DR

Principal Applied Scientist (AI): Leading the development of next-generation grounding services powering AI applications with an accent on retrieval, attribution, and reasoning methods. Focus on designing scalable production models, building citation systems, and collaborating cross-functionally to deliver trustworthy, explainable AI solutions.

Location: Beijing, China, onsite with expected office presence

Company

hirify.global builds advanced AI platforms and services to empower organizations worldwide with innovative technology and inclusive culture.

What you will do

• Own the science roadmap for grounding, including retrieval, re-ranking, attribution, and reasoning methods.
• Build citation and provenance systems to reduce hallucinations and increase user trust.
• Advance tool-augmented grounding with schema-aware retrieval and real-time data connectors.
• Collaborate with product, engineering, and research teams to productionize scalable AI models and APIs.
• Mentor applied scientists and data scientists, establishing best practices in experimentation and error analysis.
• Communicate progress and contribute to ethics, privacy, and bias mitigation policies.

Requirements

• Location: Must be based in Beijing, China with onsite work expected
• Bachelor’s degree or higher in relevant fields with 4+ years experience in search, retrieval, or ranking systems.
• Proven experience shipping LLM-powered or Retrieval-Augmented Generation systems into production.
• Strong coding skills and machine learning foundation.
• Ability to lead through ambiguity and deliver measurable impact in fast-paced environments.
• English: Proficient (B2) required

Nice to have

• Advanced degrees with extensive experience in statistics, econometrics, or computer science.
• Publications in top-tier AI and information retrieval conferences.
• Hands-on experience with LLM development, pretraining, fine-tuning, and reinforcement learning.
• Contributions to open-source LLM inference frameworks.