Job Description

Your mission

Build agentic AI systems that reason, plan, and act inside real materials discovery workflows 
Most agent systems live in clean environments: browsers, codebases, or synthetic benchmarks. At Dunia, agents must reason about messy reality: experiments that fail, data that contradicts itself, and physical systems that don’t reset cleanly. 

As ML Engineer, Agents & Reasoning, you build the systems that make AI act responsibly inside that reality. You design agents that decide what to do next, use tools intelligently, recover from failure, and know when they don’t know. 

Your work sits at the boundary between cognition and control. 
 

Your tasks will include: 

Build agentic decision-making systems for discovery 

  • Design and implement agentic systems that plan, reason, and act across materials discovery workflows

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