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+ amazing 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 high-performance/high-reward culture emphasizes improvement, ownership, and progress. Under our "work hard, play hard" value, we foster ongoing learning, challenges, and fun.
This is a new role at Lansweeper where you will be able to make an impact fast!
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 act as a bridge between AI systems, developers, and operational workflows, helping to design, test, and deploy intelligent tooling that makes development faster, smarter, and more collaborative.
A day in the life of a Senior AI Productivity Engineer
- Design, build and maintain AI-powered development tooling that directly improves engineering workflows (e.g. code assistants, smart reviewers, intelligent scaffolding).
- Drive experimentation-focused initiatives using data-informed hypotheses to validate productivity interventions.
- Operationalize agentic AI systems (e.g. autonomous dev agents) with a strong understanding of agent orchestration and feedback loops.
- Integrate AI capabilities using the Model Context Protocol (MCP) and other emerging standards to streamline model and agent interactions?
- Collaborate with engineering leadership and DevOps to implement systems that track 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 usage of AI systems in developer workflows.
- Monitor AI system performance, flag hallucination or misalignment risks, and build automated feedback and escalation mechanisms.
- Facilitate internal education and tooling onboarding for engineers to maximize the benefits of AI integration.
Are you the new Senior AI Productivity Engineer at Lansweeper?
I am someone who
is fluent in English, excellent communication skills, presentation skills.
has +5 years of experience in software engineering, platform engineering, or productivity tooling.
has proven experience deploying or experimenting with LLM-based developer tools, especially those involving code generation, review, and planning.
holds a deep knowledge of agentic AI patterns and orchestration frameworks.
has hands-on experience with MCP and familiarity with multi-agent development environments.
has strong understanding of Agile, software metrics, experimentation design (A/B testing, rollouts) and productivity frameworks (e.g. SPACE, DORA).
is familiar with modern engineering environments (monorepos, CI/CD pipelines, telemetry systems, IDE plugins…)
is proficiency in at least on high-level language (e.g. Python, TypeScript, Go, Rust) and infrastructure-as-code tools.
has the ability to build autonomously software applications, through complete development lifecycle processes.
Going for gold?
Contributions to open-source AI tooling for developer productivity.
Background in HCI, developer experience or behavioral data analytics.
Our offer you can’t refuse
Growing along with a company in full expansion
Variation, challenges and responsibility
Easygoing teamwork
Working with leading tools and newest technology
Fulltime long-term contract
Competitive wage
Extra company benefits
Flexible working hours
Internal and external training
