Generative AI Engineer — Hybrid Work & Scalable AI

Faktion | AI Solutions & Advisory; Antwerpen; Hybrid; EUR 80,000 - 110,000; Full time

Benefits offered by this job

Company car or mobility budget

Hospitalization

Group insurance

Top-tier laptop

Smartphone

Flexible hybrid work policy

Job summary

Faktion is a Belgian AI solutions firm seeking a highly motivated Generative AI Engineer to join our engineering team. You will design, build, and deploy AI-powered solutions, focusing on data augmentation, RAG systems, and virtual assistants for our diverse clients.

Candidates should have strong Python skills, ML libraries, experience with transformer models, and the ability to work cross-functionally in an agile environment. A degree in CS/AI/ML is required; a PhD is a plus.

Qualifications

• Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Solid experience implementing generative AI models and deep learning techniques.

Responsibilities

• Implement and augment generative AI models and tools (GPT, LLama, LangChain, Langfuse).
• Integrate third‑party solutions (eg. Microsoft Copilot) with proprietary methods.
• Collaborate with cross‑functional teams to define AI project requirements and objectives.
• Stay updated with the latest AI advancements and identify integration opportunities.
• Optimize AI models for performance, scalability, and efficiency.
• Develop and maintain MLOps pipelines from data preprocessing to evaluation.
• Build containerized AI back-ends using Docker and FastAPI.
• Create clear documentation and communicate complex AI concepts to stakeholders.
• Contribute to best practices and standards for generative AI development.

Skills

Python

ML libraries

Transformer models

Communication skills

Agile/Scrum

Proactive mindset

Independent & collaborative work

Education

BSc/ MSc in CS/AI/ML

PhD is a plus

Tools

Docker

FastAPI

Azure

Job description

Faktion is a Belgian AI solutions firm seeking a highly motivated Generative AI Engineer to join our engineering team. You will design, build, and deploy AI-powered solutions, focusing on data augmentation, RAG systems, and virtual assistants for our diverse clients.

Candidates should have strong Python skills, ML libraries, experience with transformer models, and the ability to work cross-functionally in an agile environment. A degree in CS/AI/ML is required; a PhD is a plus.