Software Engineer, Agent System Developer
FuriosaAI · Seoul, South Korea
Infrastructureonsite
At a glance
Highlights
- Design core agent infrastructure to automate real engineering problem-solving.
- Expand agent capabilities from rapid prototypes to production engineering workflows.
- Help pioneer sustainable, AI-native compute with RNGD in mass production.
Ideal candidate
A backend-minded builder excited by agentic AI who loves turning prototypes into reliable production systems and collaborating across hardware and software teams to improve real engineering work.
Requirements
- Bachelor's in Computer Science or related field or equivalent practical experience
- Distributed systems or large-scale backend system design and operation experience
- Machine Learning / AI systems, especially LLM-based development and production experience
- Development experience with agent systems, workflow engines, or orchestration frameworks
- Backend system development experience in Python, Go, or C++
Lab profile
About FuriosaAI
Builds high-performance, high-efficiency AI compute for the Inference Era.
What they build
- AI inference accelerators
- High-efficiency AI compute hardware
Known for
- Energy-efficient AI chip architecture
- High-performance AI inference
- AI compiler development
Key facts
- Founded in 2017
- Offices in Korea and Silicon Valley
- Compiler-focused R&D lab in Lisbon
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