Software Engineer, AI Application

FuriosaAI
Seoul
Workplace: OnsiteFull timeFunction: Software EngineeringEducation: bachelorsSkills: ["Collaboration","Product alignment","Usability evaluation","Reliability focus","Communication"]

Develop and maintain a comprehensive AI reference application and internal AI services to accelerate real-world deployment of RNGD. Build enterprise-focused reference implementations, sample code, and guides for RAG, agentic systems, and RL inference engines on Furiosa accelerators. Validate applications against real scenarios for performance, reliability, and usability, and support live demos while collaborating with the global developer community through GitHub and open-source channels.

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FursaFursa
FuriosaAI
FuriosaAI
2 weeks ago

Software Engineer, AI Application

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Develop and maintain a comprehensive AI reference application and internal AI services to accelerate real-world deployment of RNGD. Build enterprise-focused reference implementations, sample code, and guides for RAG, agentic systems, and RL inference engines on Furiosa accelerators. Validate applications against real scenarios for performance, reliability, and usability, and support live demos while collaborating with the global developer community through GitHub and open-source channels.
Location: Seoul
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Entry level

Key Responsibilities

  • •Develop a comprehensive AI reference application and maintain internal AI services to accelerate real-world deployment of RNGD.
  • •Build enterprise-focused reference applications and sample code to help developers understand and use FuriosaAI’s software stack and integrations.
  • •Create end-to-end application enablement for RAG systems, agentic systems, and RL inference engines on FuriosaAI accelerators, including 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 developer community through GitHub and open-source channels to improve real-world usability.

Key Requirements

  • •BS in Artificial Intelligence, Computer Science, Electrical Engineering, or a related field.
  • •Experience in full-stack (frontend and backend) development of AI services.
  • •Ability to collaborate across engineering, product, and design teams to align software development with product requirements.
Experience:AI computeAI servicesOpen source
Education:Bachelor's in Artificial Intelligence, Computer Science, Electrical Engineering (or related field)
Skills:CollaborationProduct alignmentUsability evaluationReliability focusCommunication
Languages:English
Tech Stack:RAGAgentic systemsReinforcement learningRL inference enginesMultimodal pipelinesGitHubTensor Contraction LanguageVirtual ISARNGDFuriosaAI acceleratorsA/B tests

Company Brief

FuriosaAI
Designs and develops data‑center AI inference accelerators (RNGD) and a full stack hardware‑software platform to deliver energy‑efficient, high‑performance AI compute for enterprise and cloud customers.
Industry: Hardware Devices
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: USD 500M to 1B
Funding: Series C
Headquarters: Seoul, South Korea
Founded: 2017
Glassdoor
Glassdoor: 4.6
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