Principal Software Engineer, AI-Native

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We are a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. Our technology helps enterprise and partnership clients simplify their businesses and helps consumers save on prescriptions. As a leader in SaaS technology for healthcare, we offer innovative solutions with integrated intelligence on a single enterprise platform that connects the pharmacy ecosystem. With our expertise and modern, modular platform, our partners use real-time data to transform their business performance and optimize their innovative models in the marketplace. Position summary RxSense is becoming an AI native company, and AI is the primary lever behind our next phase of growth. This is a deeply technical, architect level role. You will sit on the AI Engineering team and set the technical standard the broader engineering organization looks to, leading through example and craft rather than mandate. You will architect and build systems across our stack (C#/.NET, Python, and the occasional TypeScript front end), and you will lead development of our AI evaluation infrastructure, both offline (test suites, golden datasets, and regression harnesses wired into CI/CD) and online (continuous monitoring of live model and system behavior). Working in this domain is compelling because two things must hold true at once. Our systems need to be correct, since we operate in a regulated, high stakes domain where evaluation and trustworthy behavior matter as much as the features themselves. Our systems also need to be fast, since they run at high volume and low latency, where performance compounds at scale. Much of this role is about helping projects move quickly while staying confident in the products we ship. You will do this work in an AI forward environment. Our engineers build with modern agentic tooling standardized on Anthropic's Claude, so you will have first class tools for the work ahead. Responsibilities Architect and build production systems across a multi language stack: C#/.NET services, Python AI and data pipelines, and occasional TypeScript Set the example for an AI forward, high technical standard across the broader engineering organization, leading through craft rather than organization wide authority Design and drive adoption of offline evaluation frameworks (test suites, golden datasets, regression harnesses wired into CI/CD) for LLM based and other non deterministic components Build online evaluation and monitoring that continuously assesses live model and system behavior in production, including drift and regression detection Partner with engineering leadership to surface systemic risks in AI features, such as reliability, correctness, and drift, and drive the fixes Lead architecture reviews for major initiatives and mentor senior and staff engineers on system design, evaluation methodology, and AI forward practices Prototype and ship new AI capabilities What success looks like Day to day, you move between writing production code, shaping architecture across teams, and building the evaluation tooling that gives RxSense confidence in its AI systems before and after they ship. Qualifications 8+ years of professional software engineering experience, with demonstrated Staff, Principal, or Architect-level scope — e.g., owning system architecture end-to-end, driving technical strategy across multiple teams, or being accountable for critical production systems. We evaluate candidates on the scope and impact of their work rather than years of experience alone; strong candidates with less tenure but clear evidence of this level of ownership are encouraged to apply. Depth across backend and AI/ML systems, working in some combination of C#/.NET, Python, and TypeScript. Experience with LLM observability, prompt and response evaluation, or agentic system testing A track record of setting technical standards that other engineers and teams adopt. Strong communication skills, w

我们是一家医疗健康技术公司，提供平台和解决方案，以改善具有成本效益的药房福利的管理和获取。我们的技术帮助企业及合作客户简化业务，并帮助消费者节省处方药费用。作为医疗健康领域SaaS技术的领导者，我们在一个连接药房生态系统的单一企业平台上提供具有集成智能的创新解决方案。凭借我们的专业知识和现代化的模块化平台，我们的合作伙伴利用实时数据来转变业务绩效，并优化其在市场中的创新模式。

职位概述

RxSense正在成为一家AI原生公司，AI是我们下一阶段增长的主要杠杆。这是一个深度技术性的架构师级别角色。你将加入AI工程团队，为更广泛的工程组织树立技术标准，通过示范和工艺而非强制授权来引领。你将跨我们的技术栈（C#/.NET、Python，以及偶尔的TypeScript前端）架构和构建系统，并将主导我们AI评估基础设施的开发，包括离线评估（测试套件、黄金数据集和接入CI/CD的回归测试框架）和在线评估（对线上模型和系统行为的持续监控）。

在这个领域工作之所以引人入胜，是因为两件事必须同时成立。我们的系统需要是正确的，因为我们运营在一个受监管的高风险领域，评估和可信行为与功能本身同样重要。我们的系统也需要是快速的，因为它们以高吞吐量和低延迟运行，性能在规模上会产生复合效应。这个角色的很大一部分工作是帮助项目快速推进，同时对我们交付的产品保持信心。

你将在AI前瞻性环境中开展这项工作。我们的工程师使用以Anthropic的Claude为标准的现代智能体工具进行构建，因此你将拥有面向未来工作的一流工具。

职责

- 跨多语言技术栈架构和构建生产系统：C#/.NET服务、Python AI和数据管道，以及偶尔的TypeScript
- 为更广泛的工程组织树立AI前瞻性、高技术标准的榜样，通过工艺而非组织范围的权威来引领
- 设计并推动离线评估框架的采用（测试套件、黄金数据集、接入CI/CD的回归测试框架），用于基于LLM的及其他非确定性组件
- 构建在线评估和监控，持续评估生产环境中线上模型和系统行为，包括漂移和回归检测
- 与工程领导层合作，揭示AI功能中的系统性风险，如可靠性、正确性和漂移，并推动修复
- 主导重大举措的架构评审，并在系统设计、评估方法和AI前瞻性实践方面指导高级和资深工程师
- 原型设计并交付新的AI能力

成功的样子

日常工作中，你在编写生产代码、跨团队塑造架构，以及构建评估工具之间切换，这些工具让RxSense在AI系统交付前后都能对其保持信心。

任职资格

- 8年以上专业软件工程经验，具有明确的Staff、Principal或Architect级别范围——例如，端到端负责系统架构、推动跨多个团队的技术战略，或对关键生产系统负责。我们评估候选人的工作范围和影响力，而不仅仅是经验年限；经验较少但有明确证据表明具备这一级别Ownership的优秀候选人鼓励申请。
- 在后端和AI/ML系统方面有深厚积累，具备C#/.NET、Python和TypeScript中若干组合的工作经验。
- 具有LLM可观测性、提示和响应评估或智能体系统测试的经验。
- 有制定被其他工程师和团队采用的技术标准的记录。
- 出色的沟通能力，w

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