Lead Engineer, SDLC Acceleration & Agentic Tooling

Kinguin, founded in 2013, has quickly grown to become a major player in the digital entertainment marketplace with 20 million users worldwide. We offer a wide range of digital products, including video games and computer software, and have been a pioneer in supporting the esports industry through sponsorships of tournaments, events, and organisations. At Kinguin, we are committed to innovation and pushing the boundaries of what's possible in gaming. Our team is made up of people from diverse backgrounds and skill sets, all united by their love of gaming and desire to create the best possible platform for our customers.

If you value having Passion, Care & Impact in your daily work, you will fit great in our team! You can read more about our values and work here.

Let's shape the future together and make gaming accessible and inclusive for everyone!

Responsibilities

• Build and maintain AI agent tooling, including harnesses, integrations, sandboxes, and evaluation frameworks to support software development.

• Design and optimize agentic workflows for planning, coding, testing, reviewing, and documentation, including human approval and cost controls.

• Evaluate AI models and coding agents to identify effective solutions for different engineering tasks.

• Implement security and quality controls to ensure reliable, auditable, and secure AI-generated code.

• Develop automated evaluation processes to measure agent performance and improve software delivery.

• Drive AI adoption across engineering teams through training, mentoring, demonstrations, and hands-on support.

• Continuously improve development workflows by experimenting with new AI technologies and measuring their impact.

Benefits

• 10+ years of software engineering experience, including working with large, complex codebases.

• At least 1 year of daily hands-on experience using AI coding agents from multiple vendors.

• Proven experience building AI agent tooling (e.g., agent harnesses, evaluation suites, MCP servers, or internal developer tools) adopted by other engineers.

• Strong understanding of agentic workflows, including context management, tool integration, verification, retries, and human oversight.

• Solid programming skills in Go, Python, and TypeScript, with experience in Git, CI/CD, containers, and Kubernetes in a major cloud environment.

• Strong knowledge ofSDLC, testing, release management, and software security, including risks associated with AI-generated code.

• Excellent communication, mentoring, and change management skills, with the ability to independently drive improvements and support engineering teams.

• Fluent English, with availability to work Warsaw business hours (CET/CEST).