AI Quality Engineer / OperatorOur client is building enterprise-grade AI automation systems for healthcare operations, focused on accelerating patient access to critical treatments and specialty medications.Their platform automates workflows including benefit verification, prior authorization, patient onboarding, financial assistance enrollment, and adherence management using AI agents deployed in real enterprise healthcare environments.This is an opportunity to join a rapidly scaling AI healthcare startup at an early stage, where the team has already secured major enterprise contracts and is operating at the frontier of agentic AI systems in regulated healthcare environments.The company is highly execution-focused, profitable, and building foundational infrastructure for enterprise AI operations in healthcare.What You Will DoReview and debug AI agent outputs across transcripts, workflows, recordings, and operational systemsIdentify quality issues, edge cases, and failure patterns in production AI systemsWrite, refine, and test prompts for conversational AI and agent workflowsRun systematic root-cause analysis and quality investigationsDocument issues rigorously with clear categorization, reproduction steps, and escalation contextBuild and maintain lightweight scripts, regex patterns, and automation workflows using AI-assisted coding toolsOperate continuous quality improvement loops for production AI agentsValidate fixes and ensure issue resolution across workflows end-to-endCollaborate closely with engineers, operations, customer teams, and leadershipWork directly inside IDEs and AI tooling environmentsEvaluate LLM outputs critically rather than relying blindly on AI-generated responsesImprove operational reliability and quality processes for enterprise healthcare AI systemsContribute to the development of scalable AI quality infrastructureOperate in a highly ambiguous, fast-moving startup environment with strong ownership expectationsIdeal Candidate Background0–7 years of experience in QA engineering, operations, legal, technical program management, AI operations, or related precision-oriented rolesStrong written communication and analytical thinking skillsExperience working with AI systems, LLMs, prompt engineering, or conversational AIComfortable working inside IDEs and technical tooling environmentsAbility to learn lightweight scripting and debugging workflows quicklyStrong attention to detail and operational rigorExperience debugging complex workflows or systemsAbility to think systematically about root causes and edge casesComfortable operating in ambiguous startup environmentsStrong learning mindset and technical curiosityAble to work autonomously with minimal process structureInterest in AI systems, healthcare operations, or enterprise automationStrong SignalsExperience with LLMs, AI agents, prompt engineering, or AI evaluationsQA engineering or quality operations experienceStrong written communication and documentation abilityExperience with regex, scripting, or lightweight automationHealthcare, biopharma, or regulated-industry experienceOperations-heavy startup backgroundLegal, compliance, or analytical writing backgroundsStrong debugging and root-cause analysis mindsetExperience reviewing AI outputs at scaleTechnical curiosity combined with operational rigorComfortable learning new tools independentlyAbility to critically evaluate AI-generated outputsHigh attention to detail under pressureStrong execution orientationCompensation and BenefitsBase salary: $93,000 – $186,000Equity package: 0.06% – 0.36%Founding-stage ownership and responsibilityDirect collaboration with founders and leadershipHigh-impact role shaping production AI quality systemsExposure to frontier AI infrastructure and healthcare automationRapid career growth opportunity inside an early-stage startupFast-moving and highly collaborative environmentWhy JoinThis is an opportunity to work at the intersection of AI agents, healthcare operations, and enterprise automation.You'll help build and operate quality systems for production AI agents handling critical healthcare workflows in real enterprise environments.If you enjoy operational rigor, debugging complex systems, improving AI reliability, and working closely with cutting-edge AI infrastructure in a fast-scaling startup, this role offers exceptional ownership and growth.