Job AI Solution Engineer (AI Agents / Product / UI-UX)

Job description

If you need detailed specs, step-by-step guidance, or someone to tell you what to do — this role is not for you.

We solve ambiguous business problems and turn them into working AI-powered systems.

What you will be doing
- Talk to clients and figure out what they actually need (not what they say)
- Break down vague ideas into concrete solutions
- Research fast:
* competitors
* best-in-class products
* adjacent industries
- Become a domain expert in days
- Design end-to-end solutions:
* architecture
* user flows
* interfaces
- Build AI systems:
- AI agents
- LLM-based workflows
- automation pipelines
- Ship MVPs fast. Then improve them until they work in the real world.

You will fail here if:
- You wait for clear requirements
- You only think in code, not in solutions
- You don’t use AI daily
- You can’t evaluate the quality of your own output
- You don’t care about business impact

You are a strong fit if:
- You already use AI to 10x your productivity
- You constantly test new tools and approaches
- You can go from “I know nothing about this industry” to “I understand how it works” very fast
- You think in terms of value, efficiency, and outcomes
- You are comfortable being wrong, learning fast, and adjusting

Requirements (no fluff)
- You understand how IT systems actually work
- You can build (backend / fullstack basics are enough)
- You understand databases, APIs, and integrations
- You have real experience with:
* LLMs
* AI agents
* automated workflows
- You understand UI/UX fundamentals and can design usable interfaces
(e.g. Material Design 3 or Human Interface Guidelines)

What matters most
- You follow AI developments closely
- You continuously optimize how you work
- You understand why a product matters for the client
- You don’t build features — you solve problems

Education:
- Mathematics, Physics, Cybernetics, Business Analysis, or similar.