AI engineer in test automation

We are looking for an AI Engineer to join a project focused on building AI-powered solutions that support engineering teams in their daily development and testing activities. You will work hands-on with LLM-based agents, agentic workflows, AI-assisted development, evaluation frameworks, and guardrails. A major area of the project is test automation, but the solutions you build will also support broader software development workflows.

• Design, develop, and maintain AI agents and subagents supporting engineering and test automation workflows.
• Build and orchestrate multi-stage agent workflows, including building, composing, analyzing, validating, and executing tasks.
• Develop reusable capabilities for agentic tooling, including documentation, helper scripts, templates, and agent skills.
• Build and maintain evaluation frameworks (evals) to measure agent quality, identify regressions, and continuously improve prompts and workflows.
• Design and implement guardrails and AI autonomy policies, including action classification such as allow / ask / deny.
• Work closely with QA/SDET teams to understand testing practices, code conventions, and API testing patterns.
• Support AI-assisted software development and test automation use cases.
• Iteratively improve AI solutions based on measurable results and feedback.
• Contribute to tooling around code generation, code understanding, and engineering knowledge.

• Hands-on experience with OpenCode or a similar AI/agentic development environment, such as Claude, Cursor, GitHub Copilot, or comparable tooling.
• Practical experience with AI-supported software development and LLM-based solutions.
• Good knowledge of TypeScript and/or JavaScript, sufficient to understand existing code and perform code reviews.
• Understanding of software quality assurance principles.
• At least regular-level experience with test automation and/or software development.
• Ability to work independently and take ownership of solutions from initial idea through implementation and improvement.
• Strong communication skills and ability to collaborate effectively with QA/SDET and engineering teams.
• An analytical, iterative approach to assessing and improving the quality of AI solutions.
• Будет плюсом: Experience with BDD testing frameworks; Experience with multi-agent orchestration or parallel agent workflows; Knowledge of code graph analysis or knowledge graph tooling; Experience generating code based on OpenAPI / Swagger specifications; Familiarity with multiple LLM providers and differences in their tool-use capabilities; Experience designing LLM evaluations, prompt evaluation, regression testing, or AI guardrails; Knowledge of CI/CD pipelines, particularly Jenkins; Familiarity with SBOM generation and CycloneDX; Previous experience within the project's industry/domain

• A cafeteria system that allows employees to personalize benefits by choosing from a variety of options.
• Generous referral bonuses, offering up to PLN6,000 for referring specialists.
• Additional revenue sharing opportunities for initiating partnerships with new clients.
• Ongoing guidance from a dedicated Team Manager for each employee.
• Tailored technical mentoring from an assigned technical leader, depending on individual expertise and project needs.
• Dedicated team-building budget for online and on-site team events.
• Opportunities to participate in charitable initiatives and local sports programs.
• A supportive and inclusive work culture with an emphasis on diversity and mutual respect.
• Hybrid work model: 3 days from the office, 2 days of home office.