Sensi.AI

Youll lead the platform group that every Sensi engineer builds on: a company-wide function that serves all our product squads, reporting directly to the VP R&D. Four domains, one team, and real room to shape how we build. Cloud, DevOps & Infrastructure Own our AWS and Kubernetes foundation: reliability, security, scalability and cost efficiency. Make Infrastructure as Code, automation and CI/CD the standard way we ship. Developer Platform Build the paved roads for our squads: self-service tooling, service packages, migrations, databases and CI/CD that help teams ship faster and safer. Take an active part in architecture decisions across all our product lines. Data Engineering Build our data engineering function from the ground up: reliable, scalable pipelines that handle large volumes of data from many sources. Hire and lead our first data engineers, and set the standards for quality and reliability. Agentic Platform & AI Enablement Build the infrastructure that lets our teams develop, deploy and run AI agents, a core part of our products. Bring AI into how we work: internal agents, Claude and tooling that make our engineers faster, while keeping a close eye on cost. Leadership Lead and grow the platform team: hire, mentor and develop engineers. Bring order to growth: define processes, find the weak spots and fix them, and prioritize across four domains. Partner closely with the product squads, data science and R&D leadership. Stay hands-on: dive into the code and architecture when it matters. Requirements 5+ years of experience leading engineering teams, including platform or infrastructure teams in a scaling technology company. Proven hands-on engineering track record in DevOps, infrastructure, platform or backend. Strong technical foundation in cloud architecture and infrastructure: AWS, Kubernetes, Infrastructure as Code and CI/CD. Experience balancing reliability, scalability, delivery speed and cost. Ability to lead across multiple technical disciplines, including areas where specialists have deeper expertise. Experience building teams, defining technical strategy and delivering cross-functional initiatives. A solid understanding of data pipelines and working with large-scale data. A hands-on state of mind: you're not afraid to dive into the code, learn new domains fast, and change what isn't working. Strong execution and prioritization: you take ownership, build processes, bring order to growth and drive stakeholders toward results. Nice to have Hands-on exposure to AI agents, LLM infrastructure, evals or AI cost optimization. Experience building an internal developer platform or leading a developer experience function. Experience building or leading data engineering, ideally from scratch. Familiarity with our stack: Node.js, Python, microservices, Kafka, Postgres.

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. This is a hybrid role based in Tel-Aviv, Israel. About the role As a Senior Data Scientist, you'll use LLMs to turn the outputs of our existing models into richer, more actionable insights. You'll own the work end to end, from defining the problem to evaluating models and shipping to production, and you'll shape how we measure LLM quality across the team. What you'll do Own the LLM lifecycle end to end, from problem framing and model selection through evaluation, deployment, and production monitoring Lead our LLM evaluation: design benchmarks (synthetic and real-world) that measure how commercial and open-source models perform on our actual use cases, and define what "good enough to ship" means Design and build LLM pipelines that turn the outputs of our audio and NLP models into richer, clinically meaningful insights, with a deep focus on prompt engineering and RAG Run experiments and measure their impact in real-world systems, iterating based on data Processing, cleaning, and preparing data from various sources, including unstructured data Partner with product, engineering, and our clinical team to turn real-world needs into AI solutions, and communicate results to technical and non-technical stakeholders Track the state of the art in NLP, LLMs, and agentic AI, and bring what works into our products Requirements 8+ years of hands-on experience in data science, ML engineering, or applied AI roles Hands-on experience building LLM-based solutions in production, including prompt engineering and RAG architectures Proven experience designing LLM evaluations: building benchmarks and eval suites, and using them to compare models and guide decisions Strong Python skills and experience building data pipelines for structured and unstructured data (text, and ideally audio-derived data) A data-driven mindset: you define success metrics up front and iterate based on results Self-directed, comfortable defining the problem as much as solving it Strong communication skills, with the ability to explain complex results to non-technical stakeholders Nice to Have Experience with time series data and forecasting Experience with cloud platforms (AWS preferred) Experience with fine-tuning LLMs Background in healthcare, clinical, or audio-related domains

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. This is a hybrid role based in Tel-Aviv, Israel 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. Requirements 8+ 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. Sensi celebrates diversity and uphold equal opportunity in our hiring practices. Our approach fosters an inclusive environment that sparks innovation and reflects the vibrant communities we serve. All persons shall have the opportunity to be considered for employment without regard to any characteristic protected by applicable federal, state, or local laws and ordinances.