Backend Lead

You are being sought after for the position of Backend Lead to develop AI-powered backend systems. Your responsibilities will include designing and implementing scalable microservices and APIs, creating systems to support machine learning models and AI pipelines, managing real-time inference, batch processing, and data pipelines, as well as ensuring system reliability, observability, and performance. Key Responsibilities: - Build scalable microservices and APIs - Design systems to serve ML models and AI pipelines - Handle real-time inference, batch processing, and data pipelines - Ensure system reliability, observability, and performance When it comes to AI, you are expected to have experience in constructing AI pipelines from data to model to API to product, familiarity with model serving, vector databases, embeddings, and RAG systems, the ability to develop low-latency AI systems, and expertise in integrating large language models (LLMs) into backend services. Qualifications: - Proficiency in Golang or Python - Strong knowledge of SQL and NoSQL databases - Experience with GCP or AWS Cloud platforms - Background in distributed systems and system design - Familiarity with databases, caching mechanisms, and queues You are being sought after for the position of Backend Lead to develop AI-powered backend systems. Your responsibilities will include designing and implementing scalable microservices and APIs, creating systems to support machine learning models and AI pipelines, managing real-time inference, batch processing, and data pipelines, as well as ensuring system reliability, observability, and performance. Key Responsibilities: - Build scalable microservices and APIs - Design systems to serve ML models and AI pipelines - Handle real-time inference, batch processing, and data pipelines - Ensure system reliability, observability, and performance When it comes to AI, you are expected to have experience in constructing AI pipelines from data to model to API to product, familiarity with model serving, vector databases, embeddings, and RAG systems, the ability to develop low-latency AI systems, and expertise in integrating large language models (LLMs) into backend services. Qualifications: - Proficiency in Golang or Python - Strong knowledge of SQL and NoSQL databases - Experience with GCP or AWS Cloud platforms - Background in distributed systems and system design - Familiarity with databases, caching mechanisms, and queues