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.