Principal Applied AI Engineer
Job details
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.
Key Responsibilities:
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.
