Backend Engineer (AI)

Location: Poland; European Union. Work format: Hybrid.

Company

hirify.global is a pre-launch company building a social layer for music discovery and sharing, with AI music products connecting artists and audiences.

What you will do

• Design, build, test, and maintain production software for AI music products.
• Build backend services, APIs, workers, internal tools, and orchestration systems for media and AI pipelines.
• Develop audio and video processing systems covering formats, codecs, transcoding, metadata, storage, streaming, and delivery.
• Build and optimize model-inference infrastructure, including job queues, scheduling, batching, caching, retries, and observability.
• Own complex technical problems and projects end-to-end while helping shape the architecture as the platform scales.

Requirements

• Strong software engineering experience building production systems.
• Strong Python experience.
• Solid knowledge of data structures, algorithms, complexity, and practical performance trade-offs.
• Experience with distributed systems, backend services, APIs, queues, databases, object storage, and cloud infrastructure.
• Ability to debug complex issues across code, infrastructure, networks, storage, and service boundaries.
• Ability to work independently, make sound technical decisions, and write clean, tested, maintainable code.

Nice to have

• Experience with Go, Rust, C++, Java, TypeScript, or similar languages.
• Experience with audio/video processing, codecs, containers, streaming, transcoding, or FFmpeg.
• Experience with ML infrastructure, model serving, GPU workloads, inference optimization, batching, or distributed training and inference.
• Experience with Kubernetes, Docker, Terraform, AWS, GCP, Azure, Nebius, or similar cloud infrastructure.
• Experience with data pipelines, object storage, large-scale file processing, WebDataset, S3-compatible storage, Spark, Ray, Polars, or DuckDB.

Culture & Benefits

• High ownership over important technical work.
• Opportunity to contribute to AI-driven music innovation.
• Opportunity to work on infrastructure at scale.
• Competitive compensation and equity.
• Flexibility in how work is organized.