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New
AI Agent Engineer
Cooperation type: Employment
Compensation: 3200 – 3800 € / month
Location: Remote 100%
Seniority: Medior, Senior
Project length: 12 months
Start: 11/2/2026
Language: Slovak
Profession: Back-end
Required technologies
General Description
We are looking for an AI Agent Engineer to translate identified AI and automation opportunities into working, production-grade solutions.
This is a stakeholder-facing engineering role. You will work directly with claims handlers, underwriters, operations specialists and back-office teams to understand their processes and build effective AI solutions.
What will you be doing?
- Run structured working sessions with end users to understand how work is performed today, including exceptions, manual workarounds and tacit decision rules.
- Translate this understanding into engineerable specifications covering process steps, decision criteria, data sources, edge cases and success metrics.
- Build prototypes and proofs of concept, demonstrate them to end users and iterate based on their feedback.
- Implement AI use cases such as:
- Data extraction from documents, including PDFs
- Automated form filling
- Case classification and routing
- Decision support
- Document summarization and transformation
- Integrate AI solutions with internal systems via APIs.
- Bring successful prototypes to production so they are scalable, observable, continuously evaluated and maintainable.
Requirements
Technical skills
- Ability to elicit detailed requirements directly from end users through structured working sessions and document outcomes in a form engineering teams can build upon.
- Prompt, Context and Harness Engineering.
- MCP and Agent-to-Agent concepts.
- Python and microservices.
- Cloud experience with AWS or Azure.
- API integration experience.
- Software engineering fundamentals and TDD.
- Evaluation discipline for non-deterministic systems, including golden datasets, regression testing for prompt changes, and observability of latency, cost and quality.
How you work
- Pragmatic and outcome-focused, preferring quick wins over theory.
- Treats time spent with end users as engineering work, not overhead.
- Fluent across engineering, business and end-user contexts, with the ability to maintain technical depth without losing the user's perspective.
- Clear and respectful communicator who can explain technical concepts to non-technical end users and incorporate their feedback constructively.
- Strong sense of ownership combined with an experimentation mindset.
- Comfortable working within regulated-data constraints, including GDPR, PII handling, model governance and no-train clauses.
Languages
- English at B2 level or higher.
- Slovak, required for working sessions with end users.
- German is an advantage.