Agent Engineer

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