Sr AI Engineer

Sr AI Engineer

Primary Responsibilities:

• Develop and improve AI agentic frameworks for complex tasks.
• Develop novel data collection, fine-tuning, and AI technologies.
• Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and evaluation.
• Collaborate with cross-functional teams including AI researchers, ML engineers, and product teams.
• Build scalable, reusable backend systems to support AI products.
• Develop robust logging, telemetry, and evaluation harnesses to ensure reliable model performance.
• Utilize hands-on programming with modern languages such as Python and Scala.
• Contribute to the architecture and design of large-scale distributed and ML systems.
• Apply software engineering best practices including coding standards, code reviews, build processes, testing, and security.
• Build AI Agents using Azure Copilot Studio or Mosaic AI Agent Framework.
• Utilize strong experience with Azure and Databricks AI/ML services.
• Leverage prior experience in developing AI/ML frameworks with Mosaic or open-source ML software.

Key skills/competency

AI frameworks, data collection, ML pipelines, Python, Scala, distributed systems, Azure, Databricks, AI Agents, software engineering