Senior Backend & LLM Applications Developer

Join Our Mission at Sensi.AI

At Sensi.AI, we are on a mission to transform how society cares for every older adult in need. We leverage the power of AI and data to ensure safety, dignity, and satisfaction in every caregiver-care recipient interaction. If you’re passionate about making a meaningful impact and want to help shape the future of elder care, we invite you to join our team. Here, you’ll be part of a culture that values innovation and compassion, and you’ll find exciting opportunities for professional growth as we work together to create an ideal care environment for older adults.

About The Role

As a Senior Backend & LLM Applications Developer at Sensi.AI, you will design and build scalable backend systems while integrating advanced AI capabilities into production. You will work with Large Language Models (LLMs), agentic AI, and AI agents, making key architectural and technical decisions that shape how AI powers our products for the Care Network.

As part of our fast-growing R&D team, you will drive core infrastructure development, contribute to platform scalability, and help advance cutting-edge AI technology that improves the lives of older adults.

What You’ll Do

• Design and develop scalable backend services and cloud-based infrastructure (AWS) using microservices architecture
• Take end-to-end ownership of complex backend systems and development projects, from design to production
• Drive performance, reliability, security, and scalability of core platform services
• Integrate AI and LLM capabilities into backend systems, including prompt optimization and production readiness
• Collaborate with Product and Data teams to deliver AI-enabled features
• Research, prototype, and lead the adoption of new backend technologies, with selective adoption of AI models and tools into production
  
  

• 6+ years of experience in backend / software engineering, with proven experience designing and developing high-performance, distributed systems
• Strong proficiency in Python and Node.js
• Proven experience working in cloud environments (AWS preferred; GCP/Azure acceptable)
• Hands-on experience with microservices, containerized environments (Kubernetes), and CI/CD pipelines (GitHub Actions, TeamCity)
• Experience with message queuing and streaming systems such as Kafka and/or SQS
• Strong understanding of SQL and NoSQL databases, large-scale data flows, and data-driven systems
• Experience in developing and deploying LLM agents to production (via Langgraph, Langchain, etc.)
• Strong collaboration and communication skills, both Hebrew & English