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
Minimum Qualifications: - Individuals who are completing or have recently completed a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline. - Strong programming skills in Python / Java / Scala - Solid understanding of data systems, data modeling, or distributed systems - Experience in at least one of the following: - Data engineering/backend systems - Machine learning/LLM systems - Strong problem-solving skills and curiosity about new technologies Preferred Qualifications: - Experience with LLM, RAG, or vector databases - Knowledge of knowledge graphs or ontology modeling - Experience with real-time data processing (Flink, Kafka, etc.) - Understanding of AI agents or workflow orchestration - Experience building data platforms or knowledge systems
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