обновлено 11 дней назад
Senior Full-Stack Engineer (AI)
85 000 - 120 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Full-Stack Engineer (AI) (TypeScript/Angular/Java): Building data-dense monitoring interfaces and agentic workflows for a data quality and AI performance platform with an accent on component architecture, frontend performance, testing, and API design. Focus on developing LLM-powered user experiences, shaping backend endpoints, and solving complex data-flow and latency challenges across the frontend and Java backend.
Location: Fully remote within Belgium, Poland, the United Kingdom, the Netherlands, Germany, or France; a Belgian office is available.
Compensation: €85,000–€120,000 per year plus equity.
Company
provides a data quality and AI performance monitoring platform, including the open-source Core engine and the Cloud product.
What you will do
- Own complex, data-dense interfaces including dashboards, monitoring views, tables, diffs, and drill-downs.
- Drive component architecture, state management, responsive design, and frontend performance.
- Build and maintain the component library, Storybook coverage, design system, and Cypress end-to-end tests.
- Develop interfaces for agentic, LLM-powered workflows where users direct, review, and act on automated processes.
- Shape consumed APIs and implement Java backend changes when features require them.
- Collaborate directly with product, design, and customers, while mentoring backend-focused engineers on frontend development.
Requirements
- 5+ years building frontend for real products and complex single-page applications.
- Expert TypeScript and strong experience with Angular; React or Vue experience is also welcome.
- Experience with component architecture, state management, rendering performance, responsive design, and frontend testing, including Cypress or Playwright.
- Working knowledge of Java services, API design, and SQL.
- Experience using AI coding agents such as Claude Code, Cursor, or similar in production development.
- Fluent English and the ability to work independently in a distributed team.
Nice to have
- Experience with data-heavy or developer-tool products, data visualization, monitoring, or analytics interfaces.
- Design-system or component-library ownership.
- Multi-tenant SaaS at scale or high-growth startup experience.
- Python experience and familiarity with data engineering.
- Experience building LLM-powered features, tool-using agents, AI-driven automation, data quality, data observability, or ML monitoring products.
Culture & Benefits
- Fully remote work with flexible hours and a Belgian office option.
- Autonomy, ownership, and responsibility for product and roadmap decisions.
- Distributed international team across 12+ countries.
- Access to frontier AI models and tokens for agentic development.
- Transparent communication, a growth mindset, and a fast-paced environment with changing priorities.
Hiring process
- CV screening followed by a 20-minute phone screen.
- Two technical interviews lasting 45 and 60 minutes.
- 45-minute culture-fit interview; feedback is provided within 3–5 days after each step.
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