Engineering Manager AI

📋 Description Lead and grow a team of AI/ML, backend, and platform engineers, including hiring, performance Coach engineers through technical designs, architecture decisions, code reviews, and complex Establish and maintain high engineering standards across code quality, testing, CI/CD, and Own delivery planning for the team, including accurate costing, estimation, sequencing Guide architecture for ML model lifecycle processes, including training, evaluation, monitoring Oversee LLM-powered workflows such as agent orchestration, RAG pipelines, vector database 🎯 Requirements 8+ years of professional software engineering experience, including 2–3+ years managing and leading Proven experience building and shipping backend and/or machine learning systems at scale. Experience hiring, developing, retaining, and managing engineers while balancing people development Hands-on familiarity with modern AI/ML systems, including model training and serving, LLM-powered Practical experience with LLM-based systems in production, particularly agents, RAG pipelines, or Strong technical understanding of backend systems, distributed architectures, APIs, and production 🎁 Benefits Vacation and additional paid time off. Remote work from anywhere. Financial support for health insurance, internet, and mobile phone expenses. Stock options. Access to a learning and development platform. Multidisciplinary, diverse, and dynamic team environment.