Artificial Intelligence Engineer
Core
Design, build, and deploy end-to-end AI and machine learning systems, including LLMs and computer vision models, to solve complex business problems.
Role type
Senior IC AI & Machine Learning Engineer
Builds
Production-grade ML models, LLM-powered applications, data pipelines, and MLOps infrastructure
Domain
Artificial Intelligence, Machine Learning, Generative AI, Computer Vision
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, large-scale data preprocessing, model fine-tuning, agent engineering, safety guardrails, CI/CD for ML, model monitoring, quantization, distillation
Preferred skills
Experience with transformers, diffusion models, multi-modal AI, OpenAI/Claude/Langchain/Haystack frameworks, feature stores, data versioning
Technologies
Docker, Kubernetes, AWS, GCP, Azure, MLflow, Weights & Biases, Kubeflow, ONNX
Responsibilities
Design and evaluate production-grade ML and generative AI models; build LLM-powered applications with safety layers; construct scalable data pipelines and feature stores; deploy and monitor models via microservices; mentor junior engineers and define AI solution requirements
Seniority
Senior, hands-on IC