AI Implementation Engineer

Role overview Build AI assistants that answer questions from organizational documents and agents that perform agreed actions in business systems. The work starts with assessing and preparing source material, then continues through implementation and launch readiness, with attention to answer reliability, safe handling of uncertainty, operating cost, and client ownership after handover.

Responsibilities - Audit documentation for machine search and organize it when its condition prevents reliable retrieval. - Build document search and assistants that cite the sources behind their answers. - Set confidence thresholds and define when uncertain cases should be handed to a person. - Create agents with appropriately scoped write access, recording the actions they take. - Measure answer quality and per-case costs before recommending a production launch. - Log enough information to trace how a particular response was produced.

Requirements - Ability to assess and prepare business documentation for search and AI-assisted use. - Experience building assistants or retrieval systems grounded in documents. - Judgment about uncertainty, escalation to human operators, and access permissions. - Ability to evaluate answer quality and operating cost before deployment. - Careful event logging that supports investigation of individual responses.

Benefits and work setup - Full-time engagement, with either a B2B or employment contract. - Warsaw or remote within the EU.