Software Engineer, Agent System Developer

About AI Transformation Team

The AI Transformation Team focuses on solving complex engineering problems using machine learning and scaling those solutions into real-world applications. Beyond building individual models, we develop agent systems that automate problem solving itself, continuously exploring and improving solutions. We aim to bridge the gap between research and production by building platforms that apply agentic AI to real-world engineering problems.

Responsibilities

• Design and build the core infrastructure for the Agent System Framework

Implement key components of the agent runtime, including orchestration, context management, tool execution, and memory abstraction Collaborate with cross-functional teams to rapidly prototype new agent capabilities and scale them into production systems Design and improve developer-facing interfaces such as CLI tools and SDKs Minimum Qualifications

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience

Experience in at least two of the following

• Designing and operating distributed systems or large-scale backend systems

Building and deploying machine learning / AI systems (especially LLM-based systems) in production Developing agent systems, workflow engines, or orchestration frameworks

Backend development experience in Python, Go, or C++

Preferred Qualifications

• Master’s or PhD degree in Engineering, Computer Science, or a related field

Proven track record of designing and building agentic AI system frameworks in real-world or large-scale environments Hands-on experience building LLM-based applications (e.g., tool use, planning, reasoning systems)

Experience building developer tools such as CLI or SDKs

Contact

recruit@furiosa.ai