European Tech Recruit is working closely with a leading telecommunications company, based in Edinburgh, who are looking for a talented AI Engineer for Spatial Intelligence to join their world‑leading research center.
In this role you will help to bridge the gap between physical environment sensing and on-device Personal Intelligence. In this role, you will develop the critical foundation models that allow consumer devices to understand their physical surroundings and retrieve relevant local data. You will be at the forefront of building the next generation of maps, entirely powered by edge‑AI.
Responsibilities
- Foundation Models Optimization: Deploy and fine‑tune multimodal models for consumer‑grade edge hardware and highly specialized use cases.
- Spatial Systems: Build prototypes to translate geospatial data into structured formats optimized for LLM reasoning.
- Vector Search: Design high‑performance data retrieval solutions optimized for distributed spatial and geographic data.
- Thematic Mapping: Create data pipelines to enrich traditional mapping systems with real‑time semantic context.
- Demo Development: Produce fully functional solution to demonstrate viability of concepts or new model abilities.
Requirements
- Education: Degree in Computer Science, Robotics, Engineering, or equivalent practical experience.
- AI & Machine Learning: Strong experience working with LLMs, foundation models, or multimodal AI architectures.
- Data Experience: Solid understanding of geospatial data, vector embeddings, or semantic search.
- Edge Computing: Familiarity with running models under local hardware constraints (e.g., ONNX, TensorRT, CoreML).
- Programming Proficiency: Advanced skills in orchestration frameworks such as Pydantic AI, AutoGen, or LangGraph.
