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