AI Engineer  

Primary Responsibilities:

• Develop and improve the AI agentic frameworks that allow AI agents to work together to achieve complex tasks. 

• Develop novel data collection, fine-tuning, and AI technologies that achieve optimal performance on specific tasks and domains. 

• Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid experimentation and iteration. 

• Work closely with cross-functional teams, including AI researchers, ML engineers, and product teams, to deliver impactful AI solutions 

• Build scalable, reusable backend systems to support AI products across the company. Develop robust logging, telemetry, and evaluation harnesses to ensure reliable model performance. 

• Hands-on programming experience with at least one modern language such as Python, Scala 

• Experience contributing to the architecture and design of large-scale distributed systems and/or ML systems and tools 

• Experience applying software engineering methodologies and best practices including coding standards, code reviews, build processes, testing, and security. 

• Experience building AI Agents using Azure Copilot Studio or Mosaic AI Agent Framework 

• Strong in Azure and Databricks AI/ML services with experience building AI applications 

• Prior experience in developing AI/ML framework with Mosaic or open-source ML software is an advantage.