AI Engineer

This is a fully remote position, open to applicants in Spain.

📋 Description

• Design, develop, and sustain real-time 3D spatial processing pipelines utilizing sensor fusion from LiDAR, camera inputs, and spatial telemetry.

• Filter and segment point clouds while conducting 3D layout analysis.

• Create computer vision models and post-processing algorithms to derive structural features and identify building geometry.

• Produce accurate 2D/3D floorplans from unprocessed visual and spatial data.

• Convert research insights, algorithmic prototypes, and AI/ML/LLM concepts into robust, maintainable Python production code.

• Take ownership of core product implementations.

• Design, deploy, and manage multi-model inference pipelines using AWS SageMaker and NVIDIA Triton Inference Server.

• Construct comprehensive data and MLOps pipelines that encompass synthetic data generation, active annotation, dataset versioning, CI/CD, and real-time telemetry.

• Assess, deploy, and monitor model performance, latency, and spatial accuracy.

• Collaborate with software engineering, research, and product management teams to transition prototypes into scalable, market-ready solutions.

⛳️ Requirements

• Advanced proficiency in Python complemented by working knowledge of C++ or Swift.

• Practical experience with OpenCV, Open3D, or PCL (Point Cloud Library) for point cloud filtering, spatial segmentation, feature extraction, and 2D/3D coordinate transformations.

• Extensive experience with PyTorch or TensorFlow.

• Expertise in Scikit-learn for traditional machine learning and statistical data analysis.

• Demonstrated experience in building low-latency serving infrastructure utilizing NVIDIA Triton Inference Server.

• Experience managing complete model workflows on AWS SageMaker.

• Familiarity with model quantization, pruning, and target compilers such as ONNX Runtime and TensorRT.

• Strong foundational knowledge in linear algebra, 3D geometry, coordinate systems, and multi-sensor fusion.

• Awareness of contemporary LLM/multimodal applications.

• Basic understanding of RF environment simulation, indoor spatial coverage modeling, or principles of wireless network planning.

• Experience optimizing or executing vision models on iOS devices using CoreML, ARKit, or Metal (preferred).

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Opportunities for professional development and continuous learning.

• Flexible working hours and the possibility of remote work.