Software Development Engineer, AI Platform

What you'll do

• Design and maintain scalable backend services for AI features in Acrobat.
• Develop data pipelines for model evaluation with reliability and observability.
• Build internal tooling to reduce toil for ML Engineers and speed up deployment.
• Implement guidelines for asynchronous system build and modular architecture.
• Automate ML workflow steps such as prompt pipeline testing and LLM-as-a-judge.
• Collaborate closely with machine learning developers to translate requirements into solutions.

What we're looking for

• Over 2 years of experience in production software engineering focusing on backend services and infrastructure.
• Proficiency in Python, including writing clean, unit-tested, and well-documented code.
• Experience crafting concurrent and asynchronous systems using Python, Node.js, or Go.
• Solid understanding of OOP principles and common patterns for building software.
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerized deployment (Docker, Kubernetes).
• Strong communication skills and a collaborative approach to working across engineering and ML teams.