Applied AI Engineer: Space & EO (Data)
AI in this role
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.
What You'll 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 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
How we rate this
Applied AI Engineer: Space & EO (Data) at Open Cosmos rates 89 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: RAG and Computer Vision. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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