AI Research & Engineering Expert - Artificial Intelligence

Role Overview

Join a pioneering AI team dedicated to advancing all aspects of large model technology, encompassing foundational data and model research, reliable global search and retrieval systems, cutting-edge compute architectures, and intelligent agent development. The role involves pushing the boundaries of intelligence metrics such as data quality, retrieval accuracy, compute efficiency, and agentic reasoning through an integrated research and engineering approach.

Key Responsibilities

• Direct innovative research and engineering efforts in AI data science, managing large model pre-training and post-training data processes including evaluation and validation.
• Architect and implement robust, evidence-based search and retrieval augmented generation (RAG) systems that mitigate hallucinations, featuring cross-lingual alignment and advanced global vector retrieval frameworks.
• Lead development of acceleration algorithms and high-performance kernels focused on AI training and inference optimized for next-generation hardware through hardware-software co-design.
• Enhance core large language model (LLM) capabilities such as long sequence processing, intelligent agents, and complex reasoning by pioneering novel architectures and training methodologies.
• Design and engineer AI agent functionalities including retrieval augmented generation, tool integration, collaborative multi-agent orchestration, advancing solutions from conceptual stages to production deployment.
• Collaborate with Product Management to translate strategic business objectives into scalable AI agent-based engineering solutions.
• Develop talent progression frameworks, mentor engineering teams, and establish best practices bridging research and engineering disciplines.
• Engage with leading research communities, contributing to patents, benchmark studies, and proprietary technological innovations.

Candidate Profile

The ideal candidate is a research-focused technologist and experienced hands-on engineer holding a Master’s, PhD, or equivalent experience in Computer Science, Artificial Intelligence, Data Science, Electronic Engineering, or related disciplines. Proven expertise is required in translating research around large model data engineering, search/RAG, AI compute acceleration, or agent systems into scalable production implementations.

Essential skills include proficiency in programming languages such as Python, TypeScript, Java, or C/C++, and practical experience in at least one key domain area. Solid understanding of mainstream LLM or mixture-of-experts architectures and familiarity with at least one agent framework like LangChain or Dify is expected. Knowledge of GPU/NPU microarchitecture and hardware-software co-design is advantageous, alongside a strong publication or patent portfolio.

The role demands excellent cross-functional collaboration skills and the agility to work effectively within a fast-paced enterprise environment.

Additional Information

This position is based onsite in Singapore and reports directly to AI leadership. The hiring company holds a valid operating license and emphasizes confidentiality in application submissions.

Application Instructions

Interested candidates are encouraged to apply discreetly by submitting their resumes directly to the designated contact at the recruiting firm.