Production‑Ready AI Systems Engineer (LLMs & MLOps)

Craftzing Group; Sint-Pieters-Woluwe; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

Craftzing Group alongside Sagacify seeks a Mid-Level AI Systems Engineer to design, build, deploy and operate production‑grade AI systems with a focus on generative AI and reliable ML operations. The role spans 60‑70% AI Engineering and 30‑40% MLOps, collaborating across teams and reporting to leadership.

You’ll work with LLMs, agents, RAG pipelines, and modern AI tooling. You’ll engage in cross‑functional work, maintain CI/CD, monitor performance in production, and contribute to scalable, safe

Qualifications

• 3 to 5 years of experience in AI/ML engineering or related fields.
• Solid understanding of LLM fundamentals: Transformers, attention mechanisms, generation parameters and fine‑tuning approaches.
• Strong problem‑solving ability and algorithmic creativity.
• Clear communication with both technical and non‑technical stakeholders.
• Team spirit and collaboration across multiple roles.
• Rigour, responsiveness and good incident‑handling mindset.
• Autonomous, curious and quick to learn new tools.
• Ability to communicate fluently in Dutch, English and French, or at least the first two languages.

Responsabilités

• AI Engineering (60-70%): Orchestrate AI system components: LLMs, vector databases, APIs, orchestration layers, and user interfaces.
• Develop autonomous agents and conversational systems that can plan actions and interact with external tools or APIs.
• Build and optimise RAG pipelines connecting enterprise data sources to LLMs for grounded, contextualised, reliable answers.
• Evaluate system quality through generative AI metrics, coherence tests, and production monitoring (latency, API costs, bias).
• Deploy and scale solutions with strong attention to latency, security, reliability and cost efficiency.
• Keep an eye on the ecosystem for new models, frameworks and techniques, including LangChain, LangGraph, Langfuse, etc.
• Perform prompt and context engineering to improve output quality, reduce hallucinations, and manage conversational state effectively.
• MLOps (30-40%): Build and maintain automation for model deployment, including CI/CD pipelines and automated testing.
• Continuously monitor model performance in production, including drift detection and quality metric tracking.
• Manage updates of libraries, models, and related dependencies in production environments.
• Ensure versioning, reproducibility and safe rollout of models and AI services.
• Collaborate closely with ML engineers, developers, DevOps and infrastructure teams for smooth delivery.
• Stay current with the latest MLOps practices, tools and platform components.

Connaissances

AI/ML engineering

LLM fundamentals

Problem solving

Clear communication

Team collaboration

Outils

Python

OpenAI API

Hugging Face Transformers

LangChain

LangGraph

Langfuse

FastAPI

Docker

Kubernetes

CI/CD

Cloud GPU

AWS

Cursor

Description du poste

Craftzing Group alongside Sagacify seeks a Mid-Level AI Systems Engineer to design, build, deploy and operate production‑grade AI systems with a focus on generative AI and reliable ML operations. The role spans 60‑70% AI Engineering and 30‑40% MLOps, collaborating across teams and reporting to leadership.

You’ll work with LLMs, agents, RAG pipelines, and modern AI tooling. You’ll engage in cross‑functional work, maintain CI/CD, monitor performance in production, and contribute to scalable, safe