ByteDance

3 hours ago

Agent Backend Engineer – ARK Large Model Platform (Singapore)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Build and improve agent technologies for a large-model platform, including foundational multi-agent frameworks and memory mechanisms. Develop domain-specific agents (e.g., UI and DeepResearch agents) to boost performance in specialized scenarios. Create efficient agent development toolkits, explore new agent paradigms for VolcanoEngine’s Ark ecosystem, and design robust evaluation methodologies and systems for agent quality.

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Research and develop agent technologies for the Volcano Engine Ark Large Model Platform, including multi-agent frameworks and memory mechanisms.
•Develop domain-specific agents such as UI Agents and DeepResearch Agents to improve large model performance in specialized scenarios.
•Design and implement user-friendly, 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 progress.
•Investigate evaluation methodologies for agents and build a comprehensive evaluation system for the Ark Agent ecosystem.

Key Requirements

•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.
•Deep understanding of agent-related methodologies.
•Experience with reinforcement learning and planning algorithms (plus).
•Ability to reproduce research papers and translate them into production systems; publications or open-source contributions (plus).

Experience:Large language modelsLLMsAI applicationsReinforcement learningAgentsOpen source

Tech Stack:PythonJavaGoLLMsLarge language modelsReinforcement learningPlanning algorithms

Company Brief

ByteDance

Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

ByteDance

3 hours ago

Agent Backend Engineer – ARK Large Model Platform (Singapore)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Research and develop agent technologies for the Volcano Engine Ark Large Model Platform, including multi-agent frameworks and memory mechanisms.
•Develop domain-specific agents such as UI Agents and DeepResearch Agents to improve large model performance in specialized scenarios.
•Design and implement user-friendly, 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 progress.
•Investigate evaluation methodologies for agents and build a comprehensive evaluation system for the Ark Agent ecosystem.

Key Requirements

•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.
•Deep understanding of agent-related methodologies.
•Experience with reinforcement learning and planning algorithms (plus).
•Ability to reproduce research papers and translate them into production systems; publications or open-source contributions (plus).

Experience:Large language modelsLLMsAI applicationsReinforcement learningAgentsOpen source

Tech Stack:PythonJavaGoLLMsLarge language modelsReinforcement learningPlanning algorithms

Company Brief

ByteDance

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn