AI Automation Engineer

Route is on a mission to connect the world’s commerce through innovative products that enhance the post-purchase experience. The AI Automation Engineer will design and build AI-powered workflows to automate complex processes, significantly increasing efficiency across the organization.

Responsibilities:

• Design, build, and deploy AI-powered workflows and agentic systems that automate complex, multi-step internal processes
• Identify high-impact opportunities for automation by partnering cross-functionally with teams across the organization
• Develop scripts, integrations, and system-to-system connections that enable seamless data flow and task execution
• Leverage LLMs and emerging AI tooling to create intelligent, scalable solutions that reduce manual work and increase efficiency
• Own projects end-to-end from discovery and design through implementation, testing, and iteration
• Deliver high-quality, production-ready code with the same rigor and standards as the broader engineering team
• Collaborate with Product, Data, and Engineering partners to prioritize, build, and continuously improve solutions
• Contribute to a culture of innovation, transparency, and direct feedback while exploring new ways AI can transform how we work

Requirements:

• Hands-on experience working with LLMs and AI tooling to build workflows, automations, or intelligent systems
• Experience developing agentic or multi-agent systems, including orchestrating tools, APIs, and decision logic
• Proven ability to identify inefficiencies and translate them into automated, scalable AI-driven solutions
• 5+ years of software engineering experience with a strong foundation in computer science fundamentals
• Proficiency in one or more general-purpose programming languages (e.g., Python, Go, Java, JavaScript)
• Experience designing, building, and deploying scalable, production-grade systems and services
• Strong experience with APIs, system integrations, and data flow across distributed systems (e.g., REST, event-driven architectures)
• Experience with cloud platforms (e.g., AWS) and building highly available, reliable systems
• Comfortable working cross-functionally and partnering with non-technical stakeholders to understand problems and deliver impact
• Bachelor's degree in Computer Science or equivalent practical experience