Software - Software Engineer, Agent System
Seoul, South Korea
Hybrid
About AI Transformation Team
- The AI Transformation Team focuses on solving complex engineering problems using machine learning and scaling those solutions into real-world applications. Beyond building individual models, we develop agent systems that automate problem solving itself, continuously exploring and improving solutions.
- We aim to bridge the gap between research and production by building platforms that apply agentic AI to real-world engineering problems.
Responsibilities
- Design and build the core infrastructure for the Agent System Framework
- Implement key components of the agent runtime, including orchestration, context management, tool execution, and memory abstraction
- Collaborate with cross-functional teams to rapidly prototype new agent capabilities and scale them into production systems
- Design and improve developer-facing interfaces such as CLI tools and SDKs
Minimum Qualifications
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience
- Experience in at least two of the following:
- Designing and operating distributed systems or large-scale backend systems
- Building and deploying machine learning / AI systems (especially LLM-based systems) in production
- Developing agent systems, workflow engines, or orchestration frameworks
- Backend development experience in Python, Go, or C++
Preferred Qualifications
- Master’s or PhD degree in Engineering, Computer Science, or a related field
- Proven track record of designing and building agentic AI system frameworks in real-world or large-scale environments
- Hands-on experience building LLM-based applications (e.g., tool use, planning, reasoning systems)
- Experience building developer tools such as CLI or SDKs
Contact
[
Apply Here
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