Agent Backend Engineer – ARK Large Model Platform (Singapore) Technology - Backend Singapore Regular

ByteDance; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

ByteDance in Singapore is seeking a skilled individual for developing Agent technologies for the Volcano Engine Ark Large Model Platform. The role involves research on multi-agent frameworks and designing efficient development toolkits aimed at enhancing large model performance.

Applicants should be proficient in programming languages like Python or Java and possess a strong understanding of large language models. Experience in reinforcement learning and contributions to AI research will be beneficial. Join us in advancing AI capabilities!

Qualifications

• Proficient in at least one programming language such as Python, Java, or Go.
• Strong understanding of large language models (LLMs).
• Deep understanding of Agent-related methodologies.

Responsibilities

• Research and develop Agent technologies for the Volcano Engine Ark Large Model Platform.
• Develop domain-specific agents to enhance model performance.
• Design and implement user-friendly Agent development toolkits.

Skills

Proficient in one programming language (Python, Java, Go)

Understanding of large language models (LLMs)

Experience with reinforcement learning

Ability to translate research papers into production systems

Contributions to open-source projects

Job description

Job Code: A151442

Employment Type: Regular

About the Team

The Applied Machine Learning (AML) - Enterprise team provides machine learning platform products on VolcanoEngine with cloud resource scheduling system which intelligently orchestrates different tasks and jobs with minimised costs of every experiment and maximised resource utilisation, rich modelling tools including customised machine learning tasks and web IDE, and multi-framework high performance model inference services. In 2021, through VolcanoEngine, we released this machine learning infrastructure to the public, to provide more enterprises with reduced costs of computation power, lower barriers to machine learning engineering and deeper developments in AI capabilities.

Responsibilities

• Responsible for research and development of Agent technologies for the Volcano Engine Ark Large Model Platform, including foundational capabilities such as multi-agent frameworks and memory mechanisms.
• Develop domain‑specific agents such as UI Agents and DeepResearch Agents to enhance large model performance in specialized scenarios.
• Design and implement user‑friendly and efficient Agent development toolkits to lower the barrier for developers adopting Agent technologies.
• Explore innovative methods and technologies in the Agent domain, propose advanced paradigms, and help drive industry progress.
• Investigate evaluation methodologies for Agents and build a comprehensive evaluation system for the Ark Agent ecosystem.

Qualifications

• Proficient in at least one programming language such as Python, Java, or Go.
• Strong understanding of large language models (LLMs), including their principles and application methods is required.
• Deep understanding of Agent‑related methodologies; experience with reinforcement learning and planning algorithms is a plus.
• Passion for AI applications, with the ability to quickly reproduce research papers and translate them into production systems. Publications in top‑tier conferences or contributions to open‑source projects are a plus.