# Software Engineer \(Backend & Infra\) - Company: [Grai]() - Location: Poland · European Union - Remote: Yes - Team: Engineering - Employment type: Full Time - Posted: September 10, 2026 ## Job description ## **About GRAI** GRAI is reimagining how music is discovered and shared, created around the social layer of it. We're pre-launch, moving fast, and building the infrastructure for how the next generation of artists connects with their audience. ## **The role** You’ll build the systems that make GRAI’s AI music products work. From backend services and media pipelines to model inference and infrastructure, you’ll own hard technical problems end-to-end and help shape the architecture as we scale. ## **What you’ll own** * Design, build, test, and maintain production software used in GRAI’s AI music products. * Build backend services, APIs, workers, internal tools, and orchestration systems for media and AI pipelines. * Work with audio/video processing systems, including formats, codecs, transcoding, metadata, storage, streaming, and delivery. * Build and optimize systems around model inference, job queues, scheduling, batching, caching, retries, and observability. ## **What we’re looking for** * Strong software engineering experience building production systems. * Strong Python experience. * Solid understanding of data structures, algorithms, complexity, and practical performance tradeoffs. * Experience with distributed systems, backend services, APIs, queues, databases, object storage, and cloud infrastructure. * Ability to debug complex issues across code, infrastructure, network, storage, and service boundaries. * Experience writing clean, tested, maintainable code. * Ability to work independently, make good technical decisions, and own projects end-to-end. ## **Especially relevant experience** * Experience with one or more additional languages: Go, Rust, C++, Java, TypeScript, or similar. * Experience with audio, video, media processing, codecs, containers, streaming, transcoding, FFmpeg, or similar systems. * Experience with ML infrastructure, model serving, GPU workloads, inference optimization, batching, or distributed training/inference systems. * Experience with cloud infrastructure, Kubernetes, Docker, Terraform, AWS/GCP/Azure/Nebius, or similar. * Experience with data pipelines, object storage, large-scale file processing, WebDataset, S3-compatible storage, Spark/Ray/Polars/DuckDB, or similar. ## **What we offer** * High ownership over important technical work * Be at the forefront of AI-driven music innovation * Opportunity to work on infrastructure at scale * Competitive compensation and equity * Flexibility in how you work ## Apply [Apply on Grai]() Canonical job page: