FuriosaAI
Software Engineer, AI Application
RemoteSouth Korea only
- Role
- Fullstack
- Employment
- Full-time
Salary not disclosed
Check eligibility
Open to KR only. Set where you work from to check your eligibility.
No BS summary
Full-stack software engineer for AI services and reference applications, based in South Korea. Needs experience building frontend and backend AI services and collaborating with engineering, product, and design teams.
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
What you'll do
- 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.
What they require
- 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: MS or PhD in Artificial Intelligence, Computer Science, Electrical Engineering, or a related field.
- Preferred: Experience in developing and maintaining AI products, including running A/B tests and operating services under high traffic.
- Preferred: Experience in open-source projects on AI applications such as agentic systems, RAG, or multimodal pipelines.
FuriosaAI works on NPU-based inference and serving systems for AI datacenters.
AI Hardwarefuriosa.ai/
Details
Apply routeDom
Salary not disclosed