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