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.