Applied AI Engineer: Space & EO (Data)

• Designing and delivering AI-powered pilots and applications using Earth Observation data

• Building computer vision models for detection, segmentation, and classification tasks

• Developing AI workflows that combine EO data with LLM orchestration and reasoning

• Implementing modern AI approaches including RAG, tool-calling, and multi-step workflows

• Integrating AI capabilities into the DataCosmos platform using scalable APIs and architecture

• Supporting deployment, containerisation, and production-readiness of AI solutions

• Collaborating with commercial teams, customers, and partners to solve real-world challenges

• Rapidly iterating on ideas and pilots based on feedback and evolving requirements

• Contributing reusable code, shared AI components, and best practices across the Data team

Aim high, go beyond!

At Open Cosmos we are solving the world's biggest challenges from space, providing businesses, governments and researchers access to more readily available information than ever before - ready for the challenge? Then read on...

At Open Cosmos, our Data division transforms satellite data into meaningful insights that drive real-world impact. The team delivers all data products generated by Open Cosmos and its partners, curates and develops DataCosmos (our geospatial data platform) and builds integrations that make satellite imagery easy to access and act on.

We're now hiring an Applied AI Engineer: Space & EO (Data) to join the Data team at Open Cosmos. You'll be building practical AI applications using satellite and Earth Observation data, from computer vision models through to LLM-driven workflows, helping turn real customer problems into deployable solutions.

This role can be based in any of our European Locations.

When applying, please submit your CV in English.

• Strong understanding of applied AI and machine learning techniques

• Ability to build computer vision solutions for image-based data

• Understanding of LLM systems, orchestration workflows, and retrieval-based approaches

• Ability to build end-to-end AI workflows and pipelines

• Familiarity with APIs, scalable systems, and AI integration into larger platforms

• Knowledge of containerisation and deployment concepts such as Docker

• Strong problem-solving skills and comfort operating in ambiguous, fast-moving environments

• A pragmatic, execution-focused mindset with a passion for experimentation and delivery

• Excellent collaboration and communication skills across technical and non-technical teams

• Excitement about using AI and space technology to create meaningful real-world impact