AI-Driven Developer Experience Engineer

Sii Poland; Łódź; On-site; PLN 180,000 - 240,000; Full time

Job summary

Sii Poland is seeking an experienced software engineer to empower developer productivity through AI-assisted practices and automation. You will help teams adopt AI-enabled workflows, standardize practices, and extend tool integrations across multiple product areas.

The role focuses on hands-on engineering with a strong emphasis on developer enablement, documentation, and reusable templates to scale AI adoption in software teams.

Qualifications

• 5+ years in software engineering, platform engineering, or Developer Experience roles.
• Hands-on experience with AI coding assistants such as GitHub Copilot and Claude Code.
• Strong understanding of the software development lifecycle and engineering best practices.
• Experience working with Java and Git-based development workflows.
• Ability to create clear technical documentation.

Responsibilities

• Building automations and tooling improvements that enhance developer productivity
• Supporting engineering teams in adopting AI-assisted software development practices
• Improving repository structure, documentation, and standards to enable effective AI-assisted coding
• Developing and extending integrations between engineering tools and internal platforms
• Creating reusable templates, workflows, and best practices for software development
• Collaborating with software engineering teams across multiple product areas
• Preparing technical documentation, examples, and enablement materials
• Promoting adoption of modern AI developer tools, including GitHub Copilot and Claude Code

Skills

5+ years exp

AI coding assistants

Java

Tools

Git

Copilot

Claude Code

Job description

Sii Poland is seeking an experienced software engineer to empower developer productivity through AI-assisted practices and automation. You will help teams adopt AI-enabled workflows, standardize practices, and extend tool integrations across multiple product areas.

The role focuses on hands-on engineering with a strong emphasis on developer enablement, documentation, and reusable templates to scale AI adoption in software teams.