AI Engineer
Core
Build and deploy production AI systems for edge environments including offshore energy, defense, and autonomous networks under real-world constraints.
Role type
Senior IC AI Engineer (Edge/Production)
Builds
Containerized AI services, inference pipelines, and monitoring systems for disconnected edge and on-premises environments.
Domain
Edge AI, Industrial IoT, Defense, Energy, Robotics
Deliverable
production ML models
Required skills
Python, Java/C++, statistical machine learning, deep learning, NLP, transformers, PyTorch/TensorFlow/JAX, containerization, Kubernetes, MLOps, model optimization (quantization/pruning/distillation), data pipeline engineering
Preferred skills
TensorRT, Triton Inference Server, ONNX Runtime, vLLM, CUDA, robotics platforms, autonomous systems, synthetic data generation, active learning
Technologies
Kubernetes, PyTorch, TensorFlow, JAX, Python, Java, C++, CUDA, TensorRT, Triton, ONNX, vLLM
Responsibilities
Translate operational problems into AI requirements and production architectures; Design, train, fine-tune, and deploy multimodal and generative AI models; Build training datasets from video, images, text, and sensor data; Optimize inference for latency and resource efficiency; Deploy containerized workloads across cloud and edge; Build pipelines for model monitoring and drift detection; Partner with domain experts to move prototypes to production.
Seniority
Senior, hands-on IC
