Summary
Build production AI systems that combine modern language models, search, embeddings, and scalable data pipelines. Work across the stack while taking ideas from prototype to deployment.
Highlights
Ownership of end-to-end AI features, opportunity to influence architecture, and clear growth into technical leadership.
Description
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 Overview
We'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 Responsibilities
Design, 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 & Experience
3+ 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 Offer
A 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.
