Backend & Infra Engineer for AI Music Infrastructure

GRAI Inc.; Poland; On-site; PLN 120,000 - 180,000; Full time

Benefits offered by this job

High ownership over technical work

Be at the forefront of AI-driven music

Job summary

GRAI Inc. in Poland is seeking a backend engineer to build scalable AI music infrastructure. You’ll own production systems end-to-end, from design and implementation to testing and maintenance, prioritizing reliability and observability.

You will develop backend services, APIs, and workflows for media and AI pipelines, collaborate across teams, and work with distributed systems, cloud infrastructure, and data-processing tools as we scale our products.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Software engineering

Python

Distributed systems

APIs

Debugging

Code quality

Independent work

Tools

Kubernetes

Docker

Terraform

Cloud platforms (AWS/GCP/Azure)

Object storage

FFmpeg

Job description

GRAI Inc. in Poland is seeking a backend engineer to build scalable AI music infrastructure. You’ll own production systems end-to-end, from design and implementation to testing and maintenance, prioritizing reliability and observability.

You will develop backend services, APIs, and workflows for media and AI pipelines, collaborate across teams, and work with distributed systems, cloud infrastructure, and data-processing tools as we scale our products.