AI Engineer

Globalprofessionals; Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Job summary

Globalprofessionals is seeking an AI Engineer to design, build, and scale AI systems powering our hiring marketplace. This role offers end-to-end ownership of features from data ingestion and embeddings to matching, search, and LLM-driven tooling.

You will work closely with senior technical leadership to operationalize ideas into production systems and explore opportunities for growth and leadership within a fast-moving environment.

Qualifications

• 3+ years building ML/AI or data-intensive systems.
• Strong Python skills and ML libraries experience.
• Hands-on experience with embeddings, vector search, or LLM tooling.

Responsibilities

• Design, implement, and maintain data ingestion and embedding pipelines for résumés and job descriptions.
• Develop and enhance matching, ranking, and search capabilities.
• Build and integrate LLM-based features (RAG, structured extraction, text generation) into production systems.
• Contribute across the stack, collaborating on backend services and front-end interfaces.
• Evaluate and benchmark models, pipelines, and prototypes; establish testing and regression checks.

Skills

Python

ML system design

Embeddings & vector search

LLM tooling/APIs

End-to-end ownership

Cloud infrastructure

Tools

TensorFlow/PyTorch

Vector databases

LLM APIs

Job description

Company overview

A recruitment and consulting firm powered by an AI platform delivering global talent across industries. We connect high-skilled professionals as permanent hires, freelancers, or consultants. The team values professionalism, integrity, and continuous improvement.

Role overview

We are seeking an AI Engineer to design, build, and scale the AI systems that power our hiring marketplace. This hands-on role includes end-to-end ownership of features — from data ingestion and embeddings to matching, search, and LLM-driven tooling — working closely with senior technical leadership to operationalize ideas into production systems. Strong opportunities for growth and leadership are available.

Key responsibilities

• Design, implement, and maintain data ingestion and embedding pipelines for résumés and job descriptions.
• Develop and enhance matching, ranking, and search capabilities to improve candidate-job relevance.
• Build and integrate LLM-based features (e.g., RAG, structured extraction, text generation) into production systems.
• Contribute across the stack, collaborating on backend services and front-end interfaces when required.
• Evaluate and benchmark models, pipelines, and prototypes; establish testing and regression checks to ensure quality.
• Take features from prototype to production, including deployment, monitoring, and continuous optimization.
• Participate in architecture and feasibility discussions with the technical team and contribute pragmatic solutions.

Qualifications & experience

• 3+ years building and shipping ML/AI or data-intensive systems.
• Strong Python skills and solid experience with data-processing and ML libraries.
• Practical exposure to both backend and front-end development.
• Hands-on experience with embeddings, vector search, RAG, or LLM tooling/APIs.
• Proven ability to own features end-to-end: design, implementation, testing, and deployment.
• Familiarity with cloud infrastructure (e.g., Company), and designing scalable, robust pipelines.
• Analytical, structured, and pragmatic approach; able to work independently in a fast-moving environment.
• Desirable: experience with search/matching systems, MLOps, or recruitment/HR-tech data and workflows.

What we offer

• A core technical role within an AI-driven scale-up.
• Meaningful ownership of systems central to the product.
• Clear progression and opportunities to lead larger projects.