Role overview
As the Lead AI Engineer, you will shape the technical direction of Kelluu AI Labs and help grow it into a high-performing team. You will hire and mentor AI engineers, set priorities, and balance rapid experimentation with the demands of production-grade delivery. You are comfortable making architectural decisions that span AI models, platforms, and edge systems.
Your core responsibility will be to drive the development of the Kelluu Geospatial Aware AI and the Situational Awareness Agent Platforms. This pivotal role involves leading initiatives related to topics like Spatial Agents, Generative 3D, Physical AI, and World Foundation Models to effectively leverage our data assets. The goal is to facilitate faster, better decision-making through AI and agents within our Aurora platform for our end users - to have a real world impact. You will be responsible for overseeing the platform's entire development lifecycle and advancing its capabilities across various domains, both internal and external to Kelluu.
A significant part of the role is also customer-facing. You will act as a technical AI partner for sales and delivery, joining customer meetings and workshops, helping translate real-world needs into scalable AI solutions. You understand how to move from pilots and proof-of-concepts into systems that can actually be deployed, maintained, and trusted.
On the technical side, you will design and implement AI systems end to end — from early prototypes to production deployments. This includes working with generative AI (LLMs, RAG, agents, automation), building custom AI solutions beyond off-the-shelf APIs, and designing AI pipelines that run reliably both in the cloud and on the edge, sometimes in constrained environments.
The role includes regular travel and close collaboration with customers, partners, and internal teams across locations.
What we're looking for
You have strong hands-on experience delivering AI and machine learning solutions into production and are comfortable owning systems end to end. You understand modern AI tooling and generative AI well, but you also care about reliability, security, scalability, and lifecycle management.
You are equally comfortable writing code and explaining complex technical concepts to non-technical stakeholders. Acting as a bridge between business needs and engineering reality feels natural to you. You enjoy mentoring others, sharing knowledge, and setting technical direction in a fast-moving environment.
Experience with cloud platforms such as Azure and/or Google Cloud is important, as is an interest in edge AI and distributed systems. Willingness to travel and work directly with customers is part of the role.
We see as an advantage experience with spatial or geospatial AI, or with AI systems used in operational or situational-awareness contexts, is a strong plus.
If this opportunity resonates with you and you recognize yourself in the description, we would gladly continue the conversation and tell you more about Kelluu as an employer and the role in detail.
The application period is open until 1st of March 2026, and applications will be reviewed on an ongoing basis. The position will be filled as soon as a suitable candidate is found.
For further information, please contact either our Recruitment Manager Tina Wirzenius p. +358 50 4657 404, tina.wirzenius@kelluu.com or Head of Software Pauli Järviluoto p. +358 50 542 1479, pauli@kelluu.com.