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 roleAs a Staff Software Engineer (Data) at Amigo, you'll architect and build the data infrastructure that powers our platform. You'll design systems that process, analyze, and serve healthcare data at massive scale while maintaining the highest standards of privacy, security, and compliance. Your work will enable our systems to make informed decisions based on real-time healthcare data.
What you'll doArchitect data processing pipelines handling millions of healthcare records with strict privacy controls
Design and implement real-time data streaming systems for low-latency inference
Build robust ETL pipelines that transform healthcare data from multiple sources
Implement data quality monitoring and validation systems for healthcare compliance
Design scalable data storage solutions optimized for both analytical and operational workloads
Build data lineage and governance systems, ensuring full auditability
Implement privacy-preserving data processing techniques for sensitive healthcare information
Create data APIs and services enabling seamless access to healthcare data across the platform
Design backup and disaster recovery systems meeting healthcare regulatory requirements
Build analytics platforms enabling insights into AI agent performance and healthcare outcomes
7+ years of experience building large-scale data systems
Deep expertise with data processing and streaming frameworks
Strong experience with both SQL and NoSQL databases
Experience with cloud data platforms and services
Knowledge of data modeling, warehousing, and lake architectures
Understanding of data privacy and security in regulated industries
Experience with real-time streaming and batch processing systems
Strong programming skills in data processing languages
Knowledge of data quality and governance frameworks
Experience with distributed systems and service architectures
Experience with healthcare data standards (HL7, FHIR)
Knowledge of HIPAA compliance and healthcare data privacy
Background with real-time data processing and distributed analytics systems
Experience with graph databases and knowledge graphs
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
Top Skills
What We Do
Amigo AI builds trust and safety infrastructure for clinical agents—ensuring AI systems in healthcare provide quantified confidence when mistakes aren't an option. Our platform combines advanced simulation, verification, and recursive optimization to enable healthcare organizations to deploy AI with statistical guarantees about its behavior.
We solve the fundamental challenge of reliable AI in critical domains through deterministic verification for clinical protocols and continuous drift detection for real-world performance. Our systems provide complete transparency—every AI decision is traceable and auditable, with quantified confidence intervals rather than black box predictions.
Founded by technologists from Google, Meta AI, Databricks, Coda, and Plaid, we've built systems that let organizations make informed risk decisions about AI deployment in healthcare. Our interdisciplinary approach draws from computer science, economics, physics, and mathematics to tackle human-centric optimization problems where people and populations are at the center of every solution.
We're actively working with healthcare organizations across digital health, cancer care, cardiac care, and personalized medicine to deploy AI systems that continuously learn and adapt from real-world feedback while maintaining verified safety boundaries. Our technology amplifies human expertise rather than replacing it, empowering domain experts to achieve outcomes neither could accomplish alone.
Why Work With Us
We build AI healthcare systems where 99% isn't good enough. Rapid growth—promotions in 3 months. Freedom to work your way: art museums or late nights. Tackle recursive optimization problems that ship to production. Your work directly impacts critical healthcare decisions. Diverse team from Google, Meta AI, Databricks solving problems that matter.
