Senior AI/ML Engineer

About the Role

• Design and build end-to-end AI agent workflows, from initial prompt design through production deployment, ensuring scalable and reliable solutions.
• Develop and optimize Retrieval-Augmented Generation (RAG) pipelines by implementing chunking strategies, embedding models, retrieval ranking, and context window management for precise information retrieval.
• Build and iterate on prompt engineering layers, systematically testing and refining prompts and chain-of-thought strategies to deliver consistent outputs across diverse inputs.
• Implement tool orchestration within agent workflows, integrating agents with databases, rule engines, validation systems, and formatting tools for seamless operation.
• Establish automated quality checks and validation layers to proactively identify and resolve issues before outputs reach human reviewers.

Your Impact

• Collaborate with Data Scientists to instrument solutions for measurement, developing evaluation frameworks and tracking solution performance against defined targets.
• Deploy, monitor, and maintain AI/ML solutions in production environments, ensuring reliability, scalability, and robust error handling.
• Design and implement feedback loops to capture expert review data and translate it into measurable improvements in agent performance.