What will you be doing?

• 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

What You’ll bring

• 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 environmentsA 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

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

To apply, you must have the legal right to work in our chosen location.

When applying, please submit your CV in English.

Why Open Cosmos?

• Work at the cutting edge of space technology with customers around the globe.
• A mission-driven company making space accessible to help solve real-world challenges.
• A diverse, ambitious, and supportive team.