Backend AI Engineer

Description For many of us there’s that one podcast we never miss, and video content is part of our daily routine, whether it’s professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at Riverside, we know it well. That’s exactly why we built an AI-powered platform that helps content creators, podcasters, marketers, and teams at major brands like Netflix, Disney, Google, and Microsoft create high-quality content with ease. Riverside’s technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards—without expensive equipment or external services. Our secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire workflow at the click of a button. About the Engineering Team We’re a team of smart, curious engineers building scalable, reliable systems that power content creation for millions. We work with modern technologies, tackle real-world challenges in distributed systems, and keep things practical—no overengineering, just solid solutions. If you love solving tough problems, moving fast, and building tech that creators actually use, you’ll feel right at home. On Your Day-to-Day We’re looking for a Backend AI Engineer to own and build Riverside’s agentic AI architecture. This role sits at the intersection of backend engineering and production-grade AI systems. You’ll design, build, and scale the backend that powers our AI creators, enabling intelligent, reliable, and observable agentic workflows at scale. You’ll work on orchestrating multi-step AI workflows that involve LLMs, tools, and decision logic, and ensure they operate reliably under high load and real-world usage. A key part of the role is designing systems that can handle non-deterministic AI behavior, recover gracefully from failures, and continue to perform as usage and complexity grow. You’ll also be responsible for making architectural decisions that support scalability, low latency, and long-term maintainability of our AI platform. Requirements What Will Make You Stand Out? Bachelor's degree in Computer Science or a related field (or equivalent professional experience) Strong background as a Backend Engineer - at least 5 years of experience 2–3 years of hands-on experience working with AI / LLM-based systems running in production Proficiency in Python and/or JavaScript, and experience building backend services, APIs, and scalable distributed systems Practical experience designing and operating agentic AI workflows, including orchestration of multi-step flows involving LLMs, tools, and decision logic Strong understanding of how LLM-based systems behave in real-world, high-scale environments, including non-deterministic behavior and failure modes Bottom line? If you wanna take part in transforming how people and businesses share their stories globally, Riverside’s your place. The work is challenging, the culture is fast-paced, and the people are exceptionally brilliant. And if that’s not enough, we guarantee that your ideas will genuinely make an impact.