Note: The job is a remote job and is open to candidates in USA. RxSense is a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. They are seeking a Principal Software Engineer to lead the AI Engineering team, architecting and building systems across their stack while ensuring high technical standards and fast performance in a regulated environment.
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. 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, 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
- 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
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