We build AI that puts people first. Instead of just making organizations more efficient, we ensure AI systems actually help humans thrive.
We focus on healthcare because getting things right matters most in this field. Our technology provides organizations with confidence that their AI is functioning correctly before deployment. We use advanced testing and verification to make sure these systems are reliable enough for critical decisions.
We operate globally and follow strict regulations. We've raised $6.5M from investors, including General Catalyst and GSV Ventures. Our team comes from diverse backgrounds—tech, psychology, economics, healthcare, and policy—all working together to create AI that organizations can trust and that genuinely benefits people.
As a Staff Software Engineer (Observability) at Amigo, you'll build the monitoring, logging, and debugging infrastructure that ensures our AI agents operate reliably and transparently. You'll design systems that provide visibility into our platform's behavior, enabling our team to maintain reliability and quickly diagnose issues that arise.
Design and implement observability infrastructure across the entire platform
Build real-time monitoring systems that detect anomalies before they impact patient care
Create advanced debugging tools for complex distributed systems and AI model behavior
Implement distributed tracing systems that track requests across services
Design alerting systems that minimize false positives while catching all critical issues
Build dashboards and analytics tools that provide insights into system performance and health
Implement log aggregation and analysis systems for compliance and debugging
Create performance profiling tools for identifying bottlenecks in AI inference pipelines
Design systems for monitoring AI model drift and behavior changes over time
Build chaos engineering tools to test system resilience and failure modes
7+ years of experience building observability and monitoring systems
Deep expertise with observability and distributed tracing tools
Strong experience with distributed systems and service architectures
Experience building monitoring for complex distributed systems and application performance
Knowledge of statistical analysis and anomaly detection techniques
Strong programming skills in multiple languages
Experience with time series databases and analytics
Understanding of SRE principles and practices
Experience with performance profiling and optimization
Strong debugging skills for complex distributed systems
Experience in healthcare, finance, or other regulated industries
Background with statistical monitoring and performance optimization
Experience with compliance monitoring and audit logging
Knowledge of healthcare data privacy and security requirements
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
Annual learning budget for courses, books, or conferences
Conference attendance budget for professional development
Development setup of your choice
Academic collaboration opportunities
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