Engineering Manager - AI Product

📋 Description Lead, mentor, and develop a small team of AI engineers, fostering ownership and engineering Define the technical vision and architecture for an AI product with focus on performance Contribute hands-on to design and optimization of production AI systems (model serving, inference Oversee the AI platform, including GPU infrastructure, model deployment, versioning, embedding Collaborate with Product, Infrastructure, Security, and Backend teams to align priorities and Conduct performance reviews, coaching, and technical mentoring while translating long-term goals 🎯 Requirements 7+ years in software engineering, with at least 2 years in engineering management or technical Proven experience building/operating production AI/ML platforms or inference infrastructure (model Strong backend engineering skills including Python; distributed systems; Go, Rust, or similar Hands-on experience with modern LLM technologies (model APIs, open-weight models, serving Solid understanding of AI quality evaluation, benchmarking, observability, regression testing, and Experience with AWS, Kubernetes, containerization, IaC tools, CI/CD, Linux, networking, and 🎁 Benefits Fully remote position with collaboration across the European time zone. Opportunity to lead a high-impact AI product with ownership and technical influence. Hands-on leadership role combining engineering management with active software development. Exposure to cutting-edge AI tech, including LLMs, inference infrastructure, GPU computing, and Cross-functional collaboration with engineering, infrastructure, product, and security teams. Career growth through technical leadership and architecture ownership.