Backend Engineer (NodeJS & Tier 1 College) at Luna Ring About Luna: Luna is a health-tech company reimagining personal health through an integrated ecosystem of hardware, software, and intelligence. At its core is LifeOS, Luna’s adaptive health operating system that interprets biometric data from the Luna Ring and other future devices to deliver real-time guidance on energy, circadian rhythm, and recovery. With science-first design and a global user base, Luna aims to make precision health both accessible and aspirational. Location: Gurgaon About the Role: We are seeking a talented and highly skilled Backend Engineer with strong expertise in Node.js, AI integrations, and scalable system design.You will be responsible for building high-performance backend services, integrating advanced AI capabilities using OpenAI/Gemini, and designing robust systems that support real-time, large-scale user interactions. You will work closely with product managers, AI engineers, and frontend/mobile teams to craft APIs, optimize performance, and ensure seamless user experiences across the platform.** Responsibilities: Designing, developing, and maintaining scalable backend services using Node.js. Integrating OpenAI APIs, embeddings, vector stores, context/memory frameworks, and other LLM-powered features. Building reliable, secure, and well-documented REST/GraphQL APIs. Architecting backend systems that support millions of requests with high reliability. Writing clean, modular, and testable code with strong attention to performance. Working with cross-functional teams (Product, AI, Mobile/Web) to bring new features to life. Maintaining database models, optimizing queries, and ensuring high availability. Implementing monitoring, logging, alerting, and observability for backend services. Requirement: Bachelor’s degree in Computer Science, Engineering, or related field. 3–4 years of professional backend development experience. Strong proficiency in Node.js, Express/Nest.js, and modern JavaScript/TypeScript. Hands-on experience with OpenAI APIs, LLM orchestration, prompt engineering, embeddings, and AI memory/context systems. Experience building scalable, distributed, microservices-based architectures. Solid understanding of databases (MySQL/MongoDB) and caching systems (Redis). Familiarity with message queues like Kafka, RabbitMQ, or SQS is a plus. API security, rate limiting, fault tolerance, and system performance. Exposure to AI agents, vector databases, or RAG systems is a strong advantage. Excellent problem-solving skills and a proactive, ownership-driven mindset. Ability to work collaboratively in a fast-paced, cross-functional team environment. What We Offer: Competitive compensation and benefits. Opportunity to work on cutting-edge technology in a fast-paced environment. A collaborative and growth-focused culture.