Senior Backend Engineer (Go)

<div class="content-intro"><p><strong>About Creative Fabrica</strong></p> <p>Creative Fabrica is a fast-growing AI platform that makes it easy for everyday consumers to create whatever they imagine, from images and videos to audio and 3D creations, using the latest generative AI models.</p></div><h3><strong>About the team: idea.ai</strong></h3> <p>idea.ai is our bet on what creative software looks like when AI is the default, not a feature.</p> <p>We built a single platform where anyone can generate and edit images, video, audio, 3D models, and vector graphics using state-of-the-art generative AI. Our tools serve hundreds of thousands of creators every day, from hobbyist crafters to professional designers and everything in between, all in one place.</p> <p>We move fast, integrate frontier models into production-ready workflows, and build the infrastructure that gives creators every tool they need to turn any idea into professional-grade media, at scale.</p> <h3><strong>About the role</strong></h3> <p>As a Senior Backend Engineer (Go), you will be the architect of our multimodal generation pipeline. You won't just be building APIs; you’ll be designing the high-concurrency systems that orchestrate "heavy" AI workloads across any media domains. Your goal is to make complex, multi step AI generation feel instantaneous and reliable for a global audience of creators.</p> <h3><strong>What you will do:</strong></h3> <ul> <li><strong>Orchestrate Multimodal Workflows:</strong> Design and scale Go-based microservices that manage the lifecycle of AI generations.</li> <li><strong>Performance Engineering:</strong> Optimize our ConnectRPC services and async processing pipelines (Kafka + SQS) to handle long-running, resource-intensive inference tasks without compromising platform stability.</li> <li><strong>Build the Creative Engine:</strong> Develop the backend logic for advanced features like multimodal orchestration.</li> <li><strong>Data & Infrastructure:</strong> Work with AWS to manage massive data throughput and integrate with high-performance storage and compute clusters.</li> <li><strong>Collaborate with AI Researchers:</strong> Bridge the gap between raw model outputs and a polished "One Person Studio" user experience.</li> </ul> <h3><strong>What you will need:</strong></h3> <ul> <li><strong>Advanced Go Engineering:</strong> Extensive experience building and scaling Go services in high-traffic, high-volume SaaS environments.</li> <li><strong>Distributed Systems Mastery:</strong> Proven ability to design microservices that utilize asynchronous processing (Kafka & SQS) and low-latency communication (gRPC/ConnectRPC/GraphQL).</li> <li><strong>Cloud Architecture:</strong> Deep knowledge of AWS (EKS, S3, Lambda) and experience managing complex compute environments.</li> <li><strong>Product Rigor:</strong> A background in building professional-grade creative tools or media-heavy applications.&