AI Engineer — Build & Scale Hiring‑Platform AI

GloPros; Amsterdam; On-site; EUR 70,000 - 110,000; Full time

Job summary

GloPros is seeking an AI Engineer to help build and scale 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 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. You will collaborate on architecture decisions, develop robust pipelines, and contribute across backend and frontend interfaces as

Qualifications

• 3+ years of experience building ML/AI or data-intensive systems.
• Strong Python and data-processing and ML libraries experience.
• Exposure to both front-end and back-end development.
• Hands-on experience with embeddings, vector search, RAG, or LLM tooling/APIs.
• Familiarity with cloud infrastructure (AWS/Azure) and building robust, scalable pipelines.

Responsibilities

• 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.

Skills

Python

Data processing

ML libraries

Front-end & back-end

Embeddings / vector search

Cloud infrastructure

Tools

AWS

Azure

LLM APIs

Vector search tooling

Job description

GloPros is seeking an AI Engineer to help build and scale 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 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. You will collaborate on architecture decisions, develop robust pipelines, and contribute across backend and frontend interfaces as