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 Engineer at Amigo, you'll implement production AI agents using our architecture and verification framework. You'll work directly with enterprise customers to build agents that handle complex, specialized services with measurable reliability. This role requires strong technical implementation skills combined with the ability to translate domain expertise into working systems that maintain perfect compliance in regulated environments.
What you'll do
Implement context graphs that enable agents to select the right "cognitive gear" (lookup, pattern recognition, exploration) based on problem entropy
Build and optimize agent configurations, including static personas, dynamic behaviors, and functional memory systems
Design bounded Operational Patient Domains (OPDs) with explicit inclusions, exclusions, capabilities, and escalation rules
Implement verification loops and simulation-based testing to validate agent performance against customer KPIs
Write Python code for tool integrations and API orchestration within customer environments
Build evaluation suites that gate deployments using customer-specific success metrics
Collaborate with domain experts through structured interviews to capture reasoning patterns and decision trees
Support technical power users through git-based workflows for rapid iteration
Implement adversarial testing to systematically identify and prevent failure modes
Ensure agents maintain audit-ready provenance with version pinning and evidence links
Contribute to systematizing implementation patterns across different problem domains
What we're looking for
2+ years of production software engineering experience
Strong Python skills with an understanding of async operations and concurrency patterns
Experience with LLMs, prompt engineering, and building on AI platforms
Ability to implement systems with strict reliability requirements
Understanding of testing and verification methodologies
Experience working directly with customers or stakeholders to deliver technical solutions
Familiarity with git workflows and collaborative development
Strong debugging and problem-solving skills for complex systems
Ability to balance theoretical concepts with practical implementation constraints
Clear technical communication for both engineering and non-technical audiences
Nice to have
Experience in regulated industries (healthcare, finance, legal)
Background with simulation, synthetic data, or evaluation frameworks
Understanding of distributed systems and service-oriented architectures
Experience with observability and monitoring in production environments
Familiarity with compliance requirements (HIPAA, SOC 2, GDPR)
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 : $130K - $180K
Agent • New York, NY, US