Job Description

We are looking for talented individuals to join our team in 2027. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company.

Successful candidates must be able to commit to an onboarding date by end of year 2027. Please state your availability and graduation date clearly in your resume.

About The Team

We are building a next-generation enterprise knowledge system for the LLM era.

Our goal is to enable large language models to understand, access, and operate on enterprise data, including data warehouses, documents, logs, and real-time streams.

This role focuses on designing and researching a unified knowledge layer that supports query, reasoning, and execution, integrating RAG, knowledge graphs, and agent-based systems.

You will work at the intersection of data infrastructure, AI systems, and knowledge modeling, and help define how AI interacts with enterprise data.

What You Will Do

- Research and design unified knowledge representations for enterprise data

- Explore and build RAG-based knowledge systems with high accuracy and low latency

- Develop ontology / semantic layers to bridge data and LLM understanding

- Design knowledge ingestion and update mechanisms (batch + real-time)

- Improve LLM grounding, traceability, and reliability

- Explore agent-based reasoning and execution frameworks

- Prototype and validate new ideas, and bring them into production systems