What You'll Do ● Architect, build, and scale backend services using Node.js and TypeScript. ● Create REST APIs & microservices that handle real-time AI visibility tracking, prompt intelligence, and citation monitoring. ● Build asynchronous pipelines (BullMQ / Redis / AWS SQS etc.) to process large volumes of data from AI models & external sources. ● Deploy to and manage AWS infrastructure (ECS, VPC, S3, CloudWatch, etc.). ● Optimize for low-latency, high-throughput: make our systems both fast and reliable. ● Set up solid CI/CD workflows so deploying feels smooth and safe. ● Monitor production, track metrics, and catch issues early with tools like Grafana, BetterStack, and Elasticsearch. ● Work closely with our founding team—you'll see your work directly influence product direction, architecture, and speed. What We're Looking For ● 2–4 years of experience in backend engineering. ● Proficiency in Node.js , TypeScript and Python. ● Good hands-on experience with databases (MongoDB, SQL, Redis) and deep knowledge of your queries. ● Proven experience on AWS infrastructure. Bonus points if you’ve managed ECS clusters, VPC networking. ● Experience with async job queues (BullMQ / Redis / Kafka / SQS). ● Strong understanding of system design and microservices—scaling, failure modes, latency, etc. ● Comfortable with Docker / CI/CD pipelines / production deployments.