The AI Engineer II joins the team to design, develop, and maintain artificial intelligence and machine learning solutions that support intelligent automation and predictive insights. This hands-on role involves writing production-quality code to build scalable AI systems, including AI Agents and data pipelines, while integrating models into existing business applications. You will transition experimental prototypes into reliable, governed solutions by implementing robust observability, defining Service Level Objectives, and managing incident response. Key responsibilities include developing ML pipelines for training and inference, and monitoring for data drift. Required technical skills include Python, Java, or C++, along with PyTorch, TensorFlow, LangChain, and LangGraph. You will utilize SQL, Docker, Kubernetes, and cloud platforms like GCP, AWS, or Azure to solve complex enterprise problems through RAG systems and RESTful APIs.
What does a AI Engineer earn?
Median $211200 from 145 postings across 39 companies.