Join Effixis, an Artefact Company: Build Scalable AI Systems and Deploy Cutting-Edge LLMs

Are you eager to work at the intersection of AI and software engineering? Effixis, an Artefact company, is looking for a Graduate Systems Software Engineer to join our growing team in Brussels. If you’re passionate about deploying AI models at scale, optimizing system performance, and working with Large Language Models (LLMs) in production environments, this is your opportunity to gain hands-on experience in a dynamic, forward-thinking company.

Who You Are
You are a recent graduate with a degree in Software Engineering, Computer Science, or a related field, with a strong foundation in software development and systems engineering. You have a basic understanding of—or a keen interest in—DevOps methodologies, containerization (Docker, Kubernetes), infrastructure as code (Terraform), and cloud services. You enjoy solving complex technical challenges and are looking for an opportunity to apply your skills in AI deployment and system optimization. You thrive in collaborative environments, communicate effectively, and are eager to grow your expertise in AI-driven software systems.

Who We Are
Effixis is part of the Artefact Group, a global leader in Data & AI consulting, working at the cutting edge of NLP and Large Language Models. With a presence across Europe, we partner with clients in industries such as healthcare, finance, manufacturing, and media to deliver innovative AI-driven solutions. At Artefact, we foster a culture of collaboration, learning, and technical excellence, empowering our teams to push the boundaries of AI applications.

What You Will Do
As a Graduate Systems Software Engineer, you will:

• Support AI model deployment by implementing and optimizing LLM-based applications in cloud and on-prem environments.
• Develop and maintain software infrastructure for AI systems, leveraging containerization (Docker, Kubernetes) and cloud services (AWS, Azure, GCP).
• Contribute to DevOps and MLOps pipelines, ensuring efficient model deployment, monitoring, and scaling.
• Work closely with data scientists and AI engineers to integrate machine learning models into production-ready applications.
• Optimize system performance and resource usage, ensuring scalable and cost-efficient deployments.
• Participate in technical discussions and decision-making, helping shape the architecture of our AI solutions.

What You Bring

• A degree in Software Engineering, Computer Science, or a related field.
• Knowledge of software development best practices and experience with Python, Go, or another backend language.
• A foundational or growing understanding of DevOps, cloud infrastructure (AWS, GCP, or Azure), and container orchestration (Kubernetes, Docker).
• Interest in LLMs and AI model deployment, with a desire to work on scalable AI systems.
• Problem-solving skills and a strong attention to detail.
• Effective communication and teamwork skills, with a proactive attitude.

What We Offer

• A full-time graduate position in our Brussels office.
• The opportunity to work on cutting-edge AI deployments and real-world LLM applications.
• A collaborative environment, where you’ll learn from experienced engineers and AI experts.
• Training and mentorship to develop your skills in AI software engineering.
• Competitive salary and benefits.

Don’t worry if you don’t meet every requirement! We value motivation and a willingness to learn above all else. If you’re excited about AI systems engineering, we’d love to hear from you.