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.