Remote AI & software engineer job details
The engineer builds software, practical AI solutions and workflow automation around geospatial data, 3D modelling and digital twins. The listing values curiosity and initiative, and counts prior industry experience as a plus while expecting enthusiasm for learning the field.
Responsibilities
- Develops and maintains applications, backend services, APIs and integrations
- Implements and evaluates computer vision solutions for image analysis and data processing
- Deploys, integrates and optimises AI models on local infrastructure
- Builds tools for processing images, geospatial data and 3D datasets, and contributes to the digital twin platform and internal software systems
- Automates workflows, turning experiments into reliable, usable tools
- Tests, documents, deploys and troubleshoots the work, and researches new approaches with the team
Requirements
- Strong Python skills and solid software engineering fundamentals
- Experience building applications, backend services and REST APIs
- Familiarity with SQL databases, Git, Docker and Linux
- Hands-on experience with computer vision and deep learning frameworks such as PyTorch
- Experience running and integrating AI models locally
- Ability to evaluate model performance and investigate errors
- Curiosity, initiative and a strong willingness to learn new technologies and the industry
- Ability to read technical documentation in English and communicate effectively in a remote team
Preferred qualifications
- Experience with image segmentation, object detection or image matching
- Familiarity with GPU inference and model optimisation
- Experience with point clouds, 3D reconstruction, GIS, BIM or photogrammetry
- Frontend development experience
- Prior industry experience
About Geotech 3D
Geotech 3D is a UAE-based company working across surveying, aerial mapping, 3D laser scanning, BIM, GIS, asset inspection and digital twins. It supports real estate, engineering and infrastructure projects and develops AI and automation solutions for data processing.
How to apply
Applications are submitted through the apply using the button below. The listing suggests including a GitHub profile, portfolio or relevant project examples if available.
Apply through the employer's link: docs.google.com
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