Applied AI Engineer – Space & EO, Data

Responsibilities

• 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 Data Cosmos 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.

• 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.