Machine Learning Engineer

Role Overview

As an Opus ML Engineer, you will contribute to the development, optimization, and reliability of Opus’s AI infrastructure.

You’ll work in a cross-functional team to build, maintain, and improve the systems that power Opus’s AI features, from inference pipelines and workflow orchestration to prompt alignment and agentic integrations.

Your focus will be on implementing clean, efficient, and observable systems that ensure Opus’s AI features deliver consistent, high-quality performance for users.

Key Responsibilities

• Develop and maintain AI inference and orchestration pipelines used in production.
• Optimize model-serving performance, latency, and reliability across live systems.
• Implement observability, logging, and monitoring for AI components.
• Contribute to prompt and alignment improvements to enhance response quality and consistency.
• Refactor existing code for modularity, clarity, and main...