Agent Engineer II

About Amigo

Amigo partners with healthcare organizations to deploy robust AI infrastructure that directly serves patients and providers. Our agents handle clinical workflows and patient engagement across the entire journey: pre-visit intake, care navigation, post-visit care plans, patient monitoring, and more.

We own outcomes, not just delivery. For our customers, we’re responsible for agent performance: clinical safety, continuous improvement, measurable patient outcomes. Agents operate autonomously within bounded clinical domains, with clear scope and handoff protocols. That scope expands as we validate performance across populations.

We’re backed by Tier 1 investors like General Catalyst, GSV Ventures, SVA, and CohoVC. Our work is validated with leading academic medical institutions. Our agents have reached 3M patient encounters and are on track to 10x this year.

As an Agent Engineer II at Amigo, you’ll independently design and implement production AI agents for healthcare customers. You’ll architect context graphs that model complex clinical workflows, design agent personalities that maintain clinical safety, and build evaluation frameworks that catch problems before patients encounter them. This role requires you to make design tradeoffs — balancing conversation quality, clinical safety, and system reliability — with minimal oversight.

• Design context graphs (hierarchical state machines) that model multi-step clinical workflows — choosing between linear arcs and routing hubs, calibrating state density, and preventing conversation loops
• Architect agent identities: background, motivations, expertise, behaviors, and communication patterns that produce clinically safe and engaging conversations
• Build dynamic behavior sets that inject contextual instructions at runtime — designing trigger conditions, choosing override modes, and testing activation patterns
• Design user memory systems by defining extraction dimensions that are bounded, orthogonal, and actionable — preventing the dimension overlap and storage explosion that collapse memory systems
• Write tool integration specs that define when tools fire, what parameters they receive, and how results persist in conversation context
• Diagnose production conversation failures by reading prompt logs, tracing routing decisions, and identifying root causes across the agent-graph-behavior stack
• Design evaluation suites: metrics that resist gaming (Goodhart’s Law), personas that represent real patient populations, and scenarios that test edge cases
• Run coverage-optimized simulations using frontier and heatmap algorithms to systematically test all reachable states and transitions
• Process complex customer feedback — categorizing issues into agent design problems, context graph flow issues, platform bugs, and knowledge gaps

• 2-4 years of production software engineering experience
• Strong Python skills including Pydantic models, async patterns, and building reliable systems that interact with external APIs
• Experience with LLMs, prompt engineering, or building on AI platforms
• Ability to design systems by reasoning about competing constraints — you understand that boundary constraints matter more than action guidelines, and that quality trumps speed
• Experience working directly with customers or domain experts to translate requirements into technical implementations
• Debugging skills across multiple system layers — you can trace a problem from user-visible symptom to root cause across logs, prompts, and configuration
• Understanding of testing methodologies — you think about what to measure, not just whether tests pass
• Clear technical communication for both engineering and clinical audiences

• Experience in regulated industries (healthcare, finance, legal)
• Background with state machine design, finite automata, or conversation flow modeling
• Experience with simulation frameworks or synthetic data generation
• Understanding of distributed systems and observability (Datadog, structured logging)
• Familiarity with compliance requirements (HIPAA, SOC
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• Experience with voice/TTS systems and audio-specific constraints

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