Engineering Manager - AI Product

📋 Description Lead, mentor, and develop a small team of AI engineers, fostering a culture of ownership Define the technical vision and architectural direction of the AI product, ensuring high standards Contribute hands-on to the design, implementation, and optimization of production AI systems Oversee the end-to-end AI platform, including GPU infrastructure, model deployment, versioning Collaborate closely with Product, Infrastructure, Security, and Backend teams to align priorities Conduct regular performance reviews, coaching sessions, and technical mentoring while translating 🎯 Requirements 7+ years of experience in software engineering, including at least 2 years in an engineering Proven experience building and operating production AI/ML platforms or inference infrastructure Strong backend engineering skills, including Python proficiency and experience with distributed 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, along with Kubernetes, containerization 🎁 Benefits Fully remote position with collaboration across the European time zone. Opportunity to lead a highly impactful AI product with significant ownership and technical Hands-on leadership role combining engineering management with active software development. Exposure to cutting-edge AI technologies, including LLMs, inference infrastructure, GPU computing Close collaboration with cross-functional engineering, infrastructure, product, and security teams. Career growth through technical leadership, architecture ownership, and strategic decision-making.