Research Engineer (Agent Orchestration)

Job Description

Job Description

About Amigo

Amigo builds trust and safety infrastructure for AI in mission-critical environments.

We partner with organizations in healthcare and other regulated sectors to deploy AI systems that operate reliably when the stakes are highest. Our infrastructure enables verification, monitoring, and real-time oversight—ensuring AI serves people safely at scale.

We've raised $6.5M from General Catalyst and GSV Ventures. Our team combines expertise in distributed systems, quantitative research, clinical operations, and regulatory environments to build AI that organizations can trust.

About this role

As an Agent Orchestration Research Engineer at Amigo, you'll build the platform that connects simulation, verification, and production deployment for our self-optimizing systems. You'll design and implement the orchestration layer that manages adaptive agents, coordinates search algorithms for solution space exploration, and enables learning across different problem domains. Your work creates the foundation that allows our research advances to integrate into production systems.

What you'll do

Build orchestration systems for adaptive agents that improve performance in production environments

Implement search algorithms and optimization frameworks for solution space exploration

Create systems that coordinate between simulation, verification, and production deployment

Design APIs and interfaces that connect research advances to production systems

Build experimentation platforms that enable safe testing of new system capabilities

Collaborate with research teams to translate advances into scalable production systems

What we're looking for

Experience building complex orchestration systems

Strong background in distributed systems and API design

Experience with distributed computing and workflow orchestration platforms

Knowledge of search algorithms and optimization approaches

Track record of building scalable platform systems

Nice to have

Experience with reinforcement learning systems in production

Background in distributed systems and platform engineering

Healthcare or regulated industry experience

Knowledge of multi-agent systems and coordination algorithms

Benefits

Health & Wellness

Comprehensive health, dental, and vision insurance

Mental health support and wellness coaching

Flexible wellness stipend for fitness, therapy, or personal growth

Daily catered lunch and dinner

Growth & Development

Annual learning budget for courses, books, or conferences

Conference attendance budget for professional development

Development setup of your choice

Academic collaboration opportunities

Compensation Range : $150K - $300K