Frontend Software Engineer

RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving performance using Deep Learning across the entire purchase funnel. Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients.

Must have:

• 5+ years of commercial experience in building scalable, high-performance web applications, with a strong focus on React
• Proficiency in JavaScript and TypeScript
• Practical experience in writing unit tests using tools such as Testing Library, Vitest, or Jest
• Solid understanding of frontend-backend communication, including REST APIs and GraphQL
• Experience with data management and caching libraries like Apollo Client and/or TanStack Query
• Strong knowledge of HTML and CSS (including Flexbox and CSS Grid)
• Experience using AI to work smarter
• Fluency in English and Polish (C1 level or above)

Nice to have:

• Awareness of UX/UI best practices
• Willingness to proactively suggest architectural or technical improvements
• Experience with Storybook or similar tools for developing and documenting UI components
• Basic knowledge of databases (e.g. SQL)

• Design and implement advanced user interfaces, such as forms divided into nested, sortable sections with drag & drop support
• Build configurable table views with user-defined column visibility, ordering, and data filtering based on individual preferences
• Develop reusable UI components used system-wide by multiple teams, e.g., an advanced virtualized DataGrid
• Work with an interdisciplinary product team, including QA engineers, Product Designers, Backend Developers, and DevOps specialists
• Take part in code reviews and team-based frontend architecture design
• Use AI tools (LLMs, coding assistants) to speed up writing test scripts, generating edge-case data, and documenting created artefacts