Engineering Manager - AI Product

📋 Description Lead, mentor, and develop a small team of AI engineers Define the technical vision and architectural direction of the AI product Contribute hands-on to production AI systems: model serving, inference pipelines, retrieval Oversee AI platform: GPU infrastructure, model deployment, versioning, embedding pipelines Collaborate with Product, Infrastructure, Security, and Backend teams Conduct performance reviews and coaching; translate long-term goals into execution plans 🎯 Requirements 7+ years in software engineering; at least 2 years in engineering management/leadership Experience building/operating production AI/ML platforms; model serving, GPU workloads, latency Strong backend with Python; distributed systems; Go/Rust or similar an advantage Hands-on with modern LLM tech: model APIs, open-weight models, serving frameworks, vector Understanding of AI quality evaluation, benchmarking, observability, regression testing, monitoring Experience with AWS, Kubernetes, containers, IaC, CI/CD, Linux, networking, monitoring 🎁 Benefits Fully remote position with collaboration across the European time zone Lead impactful AI product with ownership and influence Hands-on leadership balancing engineering management with active software development Exposure to cutting-edge AI technologies: LLMs, inference infra, GPU computing, distributed systems Cross-functional collaboration with engineering, infra, product, and security teams Career growth through technical leadership, architecture ownership, and strategic decision-making