Engineering Manager – AI Product

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