AI Engineer
At Sudolabs, we're expanding our technology team and looking for AI engineers with experience in building AI-driven digital products. If you have a background in AI engineering, this role offers an opportunity to work on practical applications of the latest advancements in AI.
Type of contract: full-time or trade license
Place of work: Kosice or remote
Start date: let us know what time suits you best
Compensation: from €20/hour up to €45/hour
You’ll be part of a small team of engineers, data scientists, product managers, and designers where rapid prototyping and fast delivery are the norm. We don’t just follow AI trends—we translate cutting-edge research into real-world products. One day, you’ll be experimenting with breakthroughs that seemed impossible two weeks ago; the next, you’ll be preparing for what’s just around the corner (sometimes quite literally waiting for OpenAI’s next release to unlock new capabilities 😅). If you enjoy solving complex AI challenges and turning research into real products, we'd love to hear from you.
As an AI engineer, we expect you to:
- Take ownership of delivering AI-driven projects, either independently or as part of a team.
- Engage with potential clients, collaborating with our proposal team to shape solutions and drive partnerships through technical research, solution architecture, estimations, prototyping, and feasibility testing.
- Work closely with clients to deeply understand their problems and needs.
- Work with our product designers on designing innovative AI UX patterns that deliver great user experience.
- Stay up to date with the latest AI trends and technologies, sharing insights and discoveries with the team.
- Develop a strong understanding of your domain and project, making informed decisions based on business objectives.
- Contribute to the growth of our engineering team by sharing AI knowledge and best practices across the department.
Who are we looking for?
- 1+ year of AI/ML full-time software engineering experience
- Familiarity with advanced prompting techniques and common RAG strategies.
- Experience with evaluation frameworks and assessing AI performance.
- Understanding of Data Science / Machine Learning concepts, enabling you to build AI products (mainly leveraging LLMs / Foundation Models, though deep ML expertise isn’t required).
- Hands-on experience working with AI and LLMs, from concept to production.
- A proven track record of successfully delivering AI-related projects.
- Comfortable working across the full stack (TypeScript / Node / React / Python)
- Experience in product development, with a broad understanding of web or mobile, backend, and infrastructure.
- Strong product-oriented thinking
- Deep understanding of AI capabilities and how to leverage them to drive business value.
- A user-centric approach—caring deeply about the user experience, collecting and carefully studying data, and being willing to experiment.
- Excellent communication skills
- Ability to explain complex AI concepts in a simple, clear manner to non-technical stakeholders.
- Ability to identify and mitigate risks associated with AI-related projects as well as to manage client expectations in these projects.
- A collaborative and open-minded approach
- Willingness to share feedback, mentor others, and contribute to our internal knowledge base.
- Interest in organizing discussions, knowledge-sharing sessions, or AI-related events.