Senior AI Productivity Engineer

Lansweeper is an IT asset management software helping businesses better understand, manage, and protect their IT devices and network. We currently discover and monitor around 100 million connected devices for over 25,000 customers, including Mercedes, FC Barcelona, Michelin, Sony, Carlsberg, Nestlé, IBM, Maersk, and Samsung, as well as governments, banks, NGOs, and universities. We’re driven by 150+ team members across Belgium, Spain, Italy, Ireland, the UK, and the USA.

Over 90% of our customers renew their subscriptions each year, and 250+ new customers join us every month. Our culture emphasizes improvement, ownership, and progress, fostering ongoing learning, challenges, and fun under our "work hard, play hard" value.

This is a new role at Lansweeper where you can make an impact quickly!

We are seeking a highly skilled AI Productivity Engineer to join our Engineering Operations team. This role focuses on leveraging advanced AI tools and protocols to enhance the efficiency, quality, and velocity of software development across engineering teams. You will bridge AI systems, developers, and operational workflows, designing, testing, and deploying intelligent tooling to make development faster, smarter, and more collaborative.

A day in the life of a Senior AI Productivity Engineer

• Design, build, and maintain AI-powered development tools that improve engineering workflows (e.g., code assistants, smart reviewers, intelligent scaffolding).
• Drive experimentation initiatives using data-informed hypotheses to validate productivity interventions.
• Operationalize agentic AI systems (e.g., autonomous dev agents) with knowledge of agent orchestration and feedback loops.
• Integrate AI capabilities using the Model Context Protocol (MCP) and other standards to streamline model and agent interactions.
• Collaborate with engineering leadership and DevOps to implement systems tracking productivity metrics, quality indicators, and developer experience signals.
• Evaluate and adapt open-source and proprietary models for in-editor assistance and IDE augmentation.
• Partner with security and compliance teams to ensure responsible AI usage in developer workflows.
• Monitor AI system performance, identify hallucination or misalignment risks, and build automated feedback and escalation mechanisms.
• Facilitate internal education and tooling onboarding for engineers to maximize AI benefits.

Are you the new Senior AI Productivity Engineer at Lansweeper?

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