Principal Software Engineer, AI-Native

• 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.

• 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.

Range- $210,000- $275,000

RxSense believes that a diverse workforce is a more talented and productive workforce.

As such, we are an Equal Opportunity and Affirmative Action employer.

Our recruitment process is free from discriminatory hiring practices and all qualified applicants are considered for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, or national origin.

Neither will qualified applicants be discriminated against on the basis of disability or protected veteran status.

We believe in the strength of the collaboration, creativity and sense of community a diverse workforce brings.