Senior Software Engineer
Indexed description
Sensi’s platform is deployed across 50 states in leading home-care providers, supporting tens of thousands of seniors aging safely at home. By transforming real-world activity in the home into actionable insights, Sensi enables care teams to detect changes in condition earlier, intervene proactively, and deliver higher-quality care at scale.
About The Role
We’re looking for a Senior Software Engineer, to design and build scalable, production-grade systems powering Sensi’s AI-native platform.
This is an AI-native engineering role- AI copilots and tools (such as Claude, Cursor, and Copilot) are a core part of how we design, prototype, and ship software. Engineers at Sensi use AI as a force multiplier to move quickly, iterate rapidly, and focus their time on architecture, system design, and complex problem solving.
You’ll work across multiple services, platform infrastructure, and AI-driven capabilities, owning features end-to-end and helping bring intelligent healthcare products from concept to production.
Key Responsibilities
- AI-Native Development - Design and build scalable systems using AI copilots such as Claude, Cursor, and Copilot as a core part of the workflow.
- AI-Powered Features - Develop and integrate AI-driven capabilities and pipelines into production systems.
- End-to-End Ownership - Own features from architecture and development through deployment and monitoring.
- Cloud Infrastructure - Build and operate scalable cloud-native systems on AWS.
- Collaboration & Engineering Excellence - Work closely with Product, Data, and AI teams, contribute to architecture decisions, and help raise the technical bar across the team.
- 5+ years of professional software engineering experience.
- Strong backend development experience with Node.js, Python, or similar technologies.
- Proven experience building and operating scalable SaaS platforms.
- Experience using AI coding tools (Claude, Cursor, Copilot) to design, prototype, and ship features, leveraging AI-native workflows to accelerate development.
- Hands-on experience with microservices architecture, APIs, and AWS cloud infrastructure.
- Experience building or integrating AI/LLM-powered systems or AI-driven product features.
- Familiarity with modern development practices including CI/CD pipelines, containerized environments, and cloud-native deployment.
- Strong problem-solving skills, technical judgment, and clear communication.
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