To apply, send us your resume and anything else you'd like to [email protected]

About Amigo

We're helping enterprises build autonomous agents that reliably deliver specialized, complex services—healthcare, legal, and education—with practical precision and human-like judgment. Our mission is to build safe, reliable AI agents that organizations can genuinely depend on. We believe superhuman level agents will become an integral part of our economy over the next decade, and we've developed our own agent architecture to solve the fundamental trust problem in AI. Learn more here.

Role

As a Researcher in Simulation at Amigo, you'll advance our evolutionary chamber approach by developing sophisticated problem space simulation capabilities. Working as part of our Research team, you'll create techniques that accurately model complex domains and generate the evolutionary pressure necessary for agent improvement. You'll collaborate with domain expert partners to translate their expertise into effective simulator frameworks that can intelligently challenge agents across thousands of scenarios. This role is crucial for establishing the foundation of our continuous alignment loop and enabling agents to evolve toward superhuman performance.

Responsibilities

• Design and develop advanced problem space simulation architectures that create precise evolutionary pressures for agent improvement
• Create simulator models that use significantly more computational resources (reasoning tokens) to fully explore problem spaces beyond what the primary agent can achieve
• Implement techniques for intelligent challenge generation that pushes system boundaries and uncovers edge cases
• Build frameworks that enable domain-specific intelligence to be embedded in simulators
• Develop methods for transparent reasoning in simulators that provide clear audit trails for every decision
• Research approaches for simulator persona creation that can realistically model diverse user behaviors and interactions
• Collaborate with domain experts to translate their knowledge into effective simulation environments
• Design and implement methods for efficiently scaling simulations across thousands of scenarios while maintaining quality
• Work with the Verification team to ensure simulators integrate effectively with judge systems
• Contribute to research publications and the broader field of AI simulation and evaluation