F
Furiosa Aivia Ashby
Software Engineer, AI Application
Seoul HQPosted 1d ago
OtherMid LevelFull-time
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About the Role
ABOUT THE JOB
Develop a comprehensive AI reference application and maintain internal AI services to accelerate real-world deployment of RNGDs.
RESPONSIBILITIES
Develop high-impact AI applications and technical resources to enable the success of the global developer community.
- Develop enterprise-focused, high-quality reference applications and sample code that enable developers to effectively understand and utilize FuriosaAI’s SW stack and integrations.
- Drive end-to-end application enablement such as RAG systems, agentic systems, and RL inference engines on FuriosaAI accelerators, creating reproducible guides and reference implementations.
- Evaluate applications against real-world scenarios to validate performance, reliability, and usability of RNGD deployments.
- Support live application demos and collaborate with the global developer community through GitHub and open-source channels to improve real-world usability.
MINIMUM QUALIFICATIONS
- BS in Artificial Intelligence, Computer Science, Electrical Engineering, or a related field.
- Experience in full-stack (frontend and backend) development of AI services.
- Experience collaborating across engineering, product, and design teams to align software development with product requirements.
PREFERRED QUALIFICATIONS
- MS or PhD in Artificial Intelligence, Computer Science, Electrical Engineering, or a related field.
- Experience in developing and maintaining AI products, including running A/B tests and operating services under high traffic.
- Experience in open-source projects on AI applications such as agentic systems, RAG, or multimodal pipelines.
CONTACT
- recruit@furiosa.ai
Develop a comprehensive AI reference application and maintain internal AI services to accelerate real-world deployment of RNGDs.
RESPONSIBILITIES
Develop high-impact AI applications and technical resources to enable the success of the global developer community.
- Develop enterprise-focused, high-quality reference applications and sample code that enable developers to effectively understand and utilize FuriosaAI’s SW stack and integrations.
- Drive end-to-end application enablement such as RAG systems, agentic systems, and RL inference engines on FuriosaAI accelerators, creating reproducible guides and reference implementations.
- Evaluate applications against real-world scenarios to validate performance, reliability, and usability of RNGD deployments.
- Support live application demos and collaborate with the global developer community through GitHub and open-source channels to improve real-world usability.
MINIMUM QUALIFICATIONS
- BS in Artificial Intelligence, Computer Science, Electrical Engineering, or a related field.
- Experience in full-stack (frontend and backend) development of AI services.
- Experience collaborating across engineering, product, and design teams to align software development with product requirements.
PREFERRED QUALIFICATIONS
- MS or PhD in Artificial Intelligence, Computer Science, Electrical Engineering, or a related field.
- Experience in developing and maintaining AI products, including running A/B tests and operating services under high traffic.
- Experience in open-source projects on AI applications such as agentic systems, RAG, or multimodal pipelines.
CONTACT
- recruit@furiosa.ai
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