Amigo Inc.
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Research Engineer (Verification & Monitoring)
role at
Amigo Inc.
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 a Verification & Monitoring Research Engineer at Amigo, you'll build the systems that ensure our platform maintains reliable performance in production environments. You'll design verification infrastructure for both deterministic and human‑biased scenarios, implement drift detection systems, and create monitoring frameworks that track real‑world vs simulated performance. Your work is critical to maintaining the statistical confidence that organizations depend on.
What You’ll Do
Build verification systems that validate system behavior for both mathematical and human bias scenarios
Implement drift detection systems that identify when real‑world performance diverges from simulation
Create monitoring infrastructure that tracks system performance across diverse contexts
Build bias detection and fairness monitoring systems for healthcare applications
Implement audit trails and tracing systems that provide explainable system decisions
Design automated testing pipelines that continuously verify system capabilities
What We’re Looking For
Experience building verification or monitoring systems
Experience with statistical monitoring and anomaly detection systems
Knowledge of statistical testing and experimental design
Understanding of bias detection and fairness in automated systems
Track record of building reliable, production‑ready systems
Nice to Have
Healthcare or regulated industry experience
Experience with formal verification methods
Background in safety‑critical systems development
Knowledge of healthcare compliance and audit requirements
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
Seniority level
Mid-Senior level
Employment type
Full‑time
Job function
Engineering and Information Technology
Technology, Information and Internet
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Research Engineer (Verification & Monitoring)
role at
Amigo Inc.
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 a Verification & Monitoring Research Engineer at Amigo, you'll build the systems that ensure our platform maintains reliable performance in production environments. You'll design verification infrastructure for both deterministic and human‑biased scenarios, implement drift detection systems, and create monitoring frameworks that track real‑world vs simulated performance. Your work is critical to maintaining the statistical confidence that organizations depend on.
What You’ll Do
Build verification systems that validate system behavior for both mathematical and human bias scenarios
Implement drift detection systems that identify when real‑world performance diverges from simulation
Create monitoring infrastructure that tracks system performance across diverse contexts
Build bias detection and fairness monitoring systems for healthcare applications
Implement audit trails and tracing systems that provide explainable system decisions
Design automated testing pipelines that continuously verify system capabilities
What We’re Looking For
Experience building verification or monitoring systems
Experience with statistical monitoring and anomaly detection systems
Knowledge of statistical testing and experimental design
Understanding of bias detection and fairness in automated systems
Track record of building reliable, production‑ready systems
Nice to Have
Healthcare or regulated industry experience
Experience with formal verification methods
Background in safety‑critical systems development
Knowledge of healthcare compliance and audit requirements
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
Seniority level
Mid-Senior level
Employment type
Full‑time
Job function
Engineering and Information Technology
Technology, Information and Internet
#J-18808-Ljbffr