Backend Engineer (Data Engineering & Tier 1 College)

Job Description

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.