Engineer I, Automation and Custom Applications

What you'll do

• Design, develop, and maintain automation systems and backend services that enhance productivity and reliability.
• Write clean, maintainable code and contribute to high-quality solutions under the guidance of senior engineers.
• Build lightweight, purpose-built web applications that solve domain-specific challenges across Magnite’s ecosystem.
• Use AI-assisted development tools (such as Cursor and Model Context Protocols) to accelerate coding, testing, and documentation.
• Analyze workflows across engineering, operations, sales, and other teams to identify automation or optimization opportunities.
• Implement reliable, scalable solutions to improve efficiency.
• Partner with engineers, product managers, and operations teams to understand products, user interactions, and workflows.
• Gain exposure to distributed systems, modern development environments, and automation frameworks.
• Participate in code reviews, share insights, and suggest enhancements to tools, infrastructure, and processes.

Requirements

• Experience in AI Agentic Workflows: Deep understanding of context window management, dynamic skill sets, and orchestration patterns for coordinating multiple specialized AI agents.
• 0–2 years of professional or internship experience in software development.
• A desire to learn about all facets to Magnite’s business to better understand problems that can be solved for team members of the entire org. through modern tech.
• A degree in Computer Science or a related field (or equivalent practical experience).
• A solid foundation in data structures, algorithms, and programming fundamentals.
• Experience or interest in one or more of the following languages: Python, JavaScript/TypeScript, or Java.
• Curiosity about LLMs and applied AI — prompt design, APIs, or workflow automation.
• Exposure to development environments like Cursor or IDEs that integrate AI tools.
• A collaborative mindset and strong communication skills.
• A proactive, growth-oriented attitude — excited to learn from feedback and build new skills every week.

Tech stack

Benefits