Senior Software Engineer

Why Join Sensi.AI

Sensi is redefining how care organizations support aging at home by using it’s Care Intelligence platform to translate everyday signals into meaningful clinical and operational outcomes.

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.