AI Engineer: Build Scalable ML for Hiring Platform

GloPros; Amsterdam; On-site; EUR 60,000 - 90,000; Full time

Job summary

GloPros in Amsterdam seeks an AI Engineer to 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 with the Head of Data & AI to ship production-ready solutions.

This hands-on role offers real ownership, opportunities to lead projects, and a path to broader impact across backend, frontend, and model governance.

Qualifications

• 2+ years of experience building and shipping ML/AI or data-intensive systems.
• Strong Python and 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.
• 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.

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

ML systems

Embeddings

Vector search

LLM tooling

Frontend & Backend

Cloud (AWS/Azure)

Tools

TensorFlow / PyTorch

AWS / Azure

Job description

GloPros in Amsterdam seeks an AI Engineer to 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 with the Head of Data & AI to ship production-ready solutions.

This hands-on role offers real ownership, opportunities to lead projects, and a path to broader impact across backend, frontend, and model governance.