[Remote] Principal Software Engineer, AI-Native

Note: The job is a remote job and is open to candidates in USA. RxSense is a healthcare technology company focused on pharmacy benefits. The Principal Software Engineer, AI-Native will architect and build production systems across the engineering stack, establish AI evaluation and monitoring infrastructure, and guide technical standards and architecture across teams.

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

Skills

• 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
• 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, 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
• Equivalent practical experience will be considered in lieu of a formal degree
• Bachelor's degree in Computer Science, Engineering, or a related field preferred
• Experience in pharmacy benefits, healthcare, fintech, or another regulated, high stakes domain
• Familiarity with distributed systems tooling such as Kafka, gRPC, Grafana, and Dragonfly / Redis
• A good eye for clean, usable interfaces for the occasional front end work

Benefits

• First-class tools for the work ahead, with engineers building using modern agentic tooling standardized on Anthropic's Claude.

Company Overview

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