Software Engineer, AI Application

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