GloPros is a Recruitment & Consulting company, powered by an AI-platform. We deliver global professionals across every industry, high-skilled and available as permanent hires, freelancers or consultants. You'll join a team that values professionalism, integrity, and continuous improvement.Role OverviewWe're looking for an AI Engineer to help build and scale the AI systems powering our hiring marketplace. You'll own features end-to-end, from data pipelines and embeddings to matching, search, and LLM-driven tooling, working closely with the Head of Data & AI to turn ideas into production systems. This is a hands-on role with real ownership and room to grow into leading projects.Key ResponsibilitiesDesign, build, and maintain data-ingestion and embedding pipelines for résumés and job descriptions.Develop and improve matching, ranking, and search capabilities.Build and integrate LLM-based features (RAG, structured extraction, generation) into production.Work across the stack, contributing to both backend services and front-end interfaces where needed.Evaluate and benchmark models, pipelines, and prototypes; drive quality through testing and regression checks.Take features from prototype to production, including deployment, monitoring, and optimization.Collaborate on architecture and feasibility decisions with the technical team.Qualifications & Experience3+ years of experience building and shipping ML/AI or data-intensive systems.Strong Python and solid experience with data-processing and ML libraries.Exposure to both front-end and backend development.Hands-on experience with embeddings, vector search, RAG, or LLM tooling/APIs.Comfortable owning features end-to-end: design, implementation, testing, deployment.Familiarity with cloud infrastructure (AWS/Azure) and building robust, scalable pipelines.Analytical, structured, and pragmatic — able to work independently in a scale-up.Bonus: experience with search/matching systems, MLOps, or recruitment/HR-tech data.What We OfferA key technical role in an innovative AI-driven scale-up.Real ownership of the systems at the core of the product.Room to grow into leading larger projects.

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Artificial Intelligence Engineer