Principal Software Engineer – AI-Native

🔥 22 hours ago

🇺🇸 United States – Remote

💵 $210k - $275k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

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RxSense

WebsiteLinkedInAll Job Openings

201 - 500 employees

⚕️ Healthcare Insurance

💊 Pharmaceuticals

☁️ SaaS

💰 Private Equity Round on 2020-05

Healthcare Insurance • Pharmaceuticals • SaaS

RxSense is a HealthTech company dedicated to modernizing pharmacy benefit management. They develop cutting-edge products that optimize claims adjudication and analysis, aiming to lower costs and improve access within the pharmacy ecosystem. RxSense offers solutions for PBMs, pharmacies, pharma manufacturers, payers, and consumers, supporting better outcomes for millions of people daily. Their products include advanced tools like the RxIQ Enterprise adjudication engine, business intelligence analytics platform, and AI-based pricing optimization. They are known for their flagship prescription savings brand, SingleCare, which helps consumers secure affordable prices while benefiting pharmacy partners.

📋 Description

• 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

🎯 Requirements

• 8+ years of professional software engineering experience • 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, with the ability to align engineers and leadership around a shared technical direction. • Comfort working in an AI forward engineering environment, for example with agentic coding tools such as Claude Code. • Bachelor's degree in Computer Science, Engineering, or a related field preferred. Equivalent practical experience will be considered in lieu of a formal degree.