AI Automation Engineer

The Route Engineering team develops next-generation technologies that change how millions of consumers see, share, and discover the world's most innovative brands and products. Route Engineers have backgrounds in distributed systems design and development, large-scale data storage and processing systems, UI design, mobile, and much more — but what unites this talented team is a passion for the Route mission to connect the world's commerce through our suite of transformational products.

Route is looking for an AI Automation Engineer to design and build internal AI-powered workflows that drive significant efficiency gains across Route. This role sits at the forefront of applied AI, leveraging LLMs to create agentic systems that combine code, tools, and autonomous decision-making to automate complex, time-intensive processes. You’ll play a key role in redefining how work gets done by turning manual, multi-hour tasks into scalable, intelligent workflows that accelerate productivity across the organization.

• →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

• 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 

Route is an Equal Opportunity Employer. We embrace diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.

We know our team works best when everyone feels happy, healthy, and supported. We offer to pay 95% - 100% of your health insurance premiums for you and your family, remote or hybrid work arrangements, unlimited PTO, 401k matching, formalized growth opportunities, learning & development, DEI programs & events, and so much more.

Salary for this role: $171,000 - $181,000

The cash compensation above includes base salary, and is not reflective of potential commission for employees in eligible roles, or annual bonus targets under Route’s bonus plan for eligible roles. In addition to cash compensation, all Route employees are eligible to participate in Routes equity incentive plan to receive stock options per the terms of the agreement. Some roles may also be eligible for overtime pay. Individual compensation packages are based on a few different factors unique to each candidate, including their career level, skills, experience, specific geographic location qualifications and other job-related reasons.