Engineering Lead - System Design

As an Engineering Lead for AI Systems, Platform & Experience, your role involves overseeing the development and enhancement of an AI-native consumer platform focused on astrology, live consultations, and intelligent services. Your primary responsibilities include raising engineering standards, enhancing system performance, and ensuring strong execution across teams. You will be responsible for various aspects such as frontend experience, backend systems, AI/LLM service orchestration, and engineering execution. Key Responsibilities: - Define and enforce high engineering standards across frontend and backend through code reviews and architectural leadership. - Architect and scale high-performance, consumer-grade systems. - Ensure a fast, intuitive, and polished user experience. - Build observability systems including monitoring, logging, and evaluation frameworks for AI services. - Improve platform reliability, latency, and deployment processes. - Identify bottlenecks, simplify architecture, and enable faster, more stable releases. - Debug and resolve critical production issues when needed. - Lead and mentor a team of 5 to 10 engineers, driving strong execution and accountability. Qualification Required: - 7 to 11 years of experience building and scaling B2C internet products. - Prior experience managing a team of 5 to 10 engineers. - Strong hands-on expertise in frontend architecture (web & mobile). - Solid backend/system design experience with scalability focus. - Experience integrating and operating AI/LLM-based systems. - Deep understanding of observability, performance optimization, and reliability engineering. - Proven track record of improving engineering quality and delivery velocity. - Excellent communication and stakeholder management skills. In this role, you are expected to be a hands-on leader who actively codes, reviews, and guides the team. Your strong product thinking with a user-first mindset, ability to challenge ideas collaboratively, and high ownership with a bias for action and continuous improvement will contribute to the success of the platform and AI services. Ultimately, success will be reflected in a highly reliable platform, fast and intuitive user experience, predictable release cycles, and a scalable architecture supporting rapid product growth. As an Engineering Lead for AI Systems, Platform & Experience, your role involves overseeing the development and enhancement of an AI-native consumer platform focused on astrology, live consultations, and intelligent services. Your primary responsibilities include raising engineering standards, enhancing system performance, and ensuring strong execution across teams. You will be responsible for various aspects such as frontend experience, backend systems, AI/LLM service orchestration, and engineering execution. Key Responsibilities: - Define and enforce high engineering standards across frontend and backend through code reviews and architectural leadership. - Architect and scale high-performance, consumer-grade systems. - Ensure a fast, intuitive, and polished user experience. - Build observability systems including monitoring, logging, and evaluation frameworks for AI services. - Improve platform reliability, latency, and deployment processes. - Identify bottlenecks, simplify architecture, and enable faster, more stable releases. - Debug and resolve critical production issues when needed. - Lead and mentor a team of 5 to 10 engineers, driving strong execution and accountability. Qualification Required: - 7 to 11 years of experience building and scaling B2C internet products. - Prior experience managing a team of 5 to 10 engineers. - Strong hands-on expertise in frontend architecture (web & mobile). - Solid backend/system design experience with scalability focus. - Experience integrating and operating AI/LLM-based systems. - Deep understanding of observability, performance optimization, and reliability engineering. - Proven track record of improving engineering quality and delivery velocity. - Excellent communication and stakeholder management skills. In this role, you are expected to be a hands-on leader who actively codes, reviews, and guides the team. Your strong product thinking with a user-first mindset, ability to challenge ideas collaboratively, and high ownership with a bias for action and continuous improvement will contribute to the success of the platform and AI services. Ultimately, success will be reflected in a highly reliable platform, fast and intuitive user experience, predictable release cycles, and a scalable architecture supporting rapid product growth.