Principal Experience Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Principal Experience Engineer (AI/Frontend): Defining and owning the Agentic SDLC system to optimize how experience engineering is delivered using AI with an accent on agentic workflows, tooling, and guardrails. Focus on building production-ready interfaces, guiding implementation across teams, and mentoring engineers to leverage generative AI for high-quality delivery.
Location: Must be based in Poland (Remote)
Company
is a leader in data integrity, empowering global organizations to make confident decisions through a combination of software and data enrichment products.
What you will do
- Define, build, and own the AI SDLC system, including agentic workflows and tooling for Experience Engineering.
- Continuously integrate industry best practices for agentic SDLC to increase engineering velocity and quality.
- Partner with UX, UI, and QA Principal Architects to translate design direction into clear, actionable patterns.
- Work directly with teams to guide implementation, support architectural decisions, and unblock complex work.
- Mentor engineers across the organization to raise the overall standard of craft and AI-assisted delivery.
- Use delivery metrics and quality signals to drive continuous improvement of the engineering platform.
Requirements
- 8+ years of professional experience across frontend engineering, experience design, and quality.
- Demonstrated ability to build production-ready interfaces using React, Vue, Angular, or similar frameworks.
- Strong experience with automated testing approaches and maintaining quality within CI/CD pipelines.
- Proficiency in using generative AI tools (e.g., Microsoft Copilot, GitHub Copilot, ChatGPT) and guiding others in their use.
- Deep understanding of UX principles and the ability to guide teams toward consistent, usable outcomes.
- Must be based in Poland.
Nice to have
- Familiarity with shared patterns, design systems, or component libraries.
- Experience mentoring engineers beyond a single team or product area.
- Exposure to observability tools such as LogRocket, Heap, Datadog, or Sentry.
- Knowledge of backend systems or APIs to support integration and testing collaboration.
Culture & Benefits
- "Work from anywhere" culture that celebrates diversity in a distributed environment.
- AI-first organizational approach focused on eliminating low-value tasks via generative AI.
- Strong commitment to career development with opportunities for growth and learning.
- Collaborative environment built on core values: Openness, Determination, Individuality, and Collaboration.
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