Principal Applied AI Engineer

O projekcie: We are the company behind CKEditor — an open-source rich text editor used by millions of people around the world. We are part of Tiugo Technologies, a family of API-first developer platforms (CKEditor, TinyMCE, ButterCMS, Uploadcare) focused on content creation and digital collaboration. Your role: We’re looking for a Principal Applied AI Engineer to solve high-impact problems across our products and internal systems using a pragmatic combination of software engineering, systems thinking, and AI. You will work across CKEditor AI & Cloud Services, internal tools, and cross-functional initiatives, identifying where AI or automation can create real value, shaping the solution, and building it end to end. A significant part of this role is improving how software is built inside the company. You will design and implement agentic workflows and AI-assisted development systems that enhance how engineers write, review, test, and operate software. You are expected to use AI as part of your own daily engineering workflow - not just build AI systems for others. This role is for a senior hands-on engineer who is comfortable operating in ambiguity, moving from problem definition to architecture to implementation, and influencing how other teams adopt AI effectively. Wymagania: - 8+ years of experience in software engineering. - Strong system design and backend engineering skills. - Experience building and shipping AI / LLM-based solutions. - Ability to move from problem definition → architecture → implementation. - Experience with automation, workflows, or agent-like systems. - Hands-on approach and willingness to write production code. - Fluency in Polish and English (minimum C1 level). - Strong engineering judgment (including knowing when not to use AI). - Experience working across teams and influencing technical decisions. - Curiosity, ownership, and interest in applying AI in practice. Codzienne zadania: - Solve high-impact problems across product and internal systems, identifying where AI or automation can create real value. - Work closely with engineering, product, and business stakeholders to understand problems, clarify goals, and define the right approach. - Design pragmatic, end-to-end solutions from architecture and technical plans to production-ready systems. - Build systems involving LLMs, integrations, and multi-step or agentic workflows. - Make sound engineering decisions across model choice, orchestration, evaluation, latency, cost, reliability, security, and maintainability. - Write production-quality code, build prototypes, and evolve them into robust, scalable solutions. - Influence technical direction across teams, define best practices, and help others adopt AI effectively.