Mid-Level AI Systems Engineer: LLMs & MLOps in Production

Sagacify; Brussel; Hybride; EUR 65 000 - 90 000; Plein temps

Avantages offerts par ce poste

Remote work options

Flexible schedules

Regular team events

Résumé du poste

Sagacify, part of Craftzing, is seeking a Mid-Level AI Systems Engineer to build production-grade AI systems with a strong focus on generative AI and MLOps. You will split time roughly 60-70% on AI Engineering and 30-40% on MLOps, collaborating across teams and reporting to the Head of ML.

You’ll work with LLMs, agents, and RAG pipelines, designing, deploying, and operating scalable AI services. 3–5 years in AI/ML and fluency in Dutch, English or French (or at least the first two languages) are

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 technical and non-technical stakeholders

Responsabilités

• 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 open-source tools such as LangChain, LangGraph, Langfuse
• Perform prompt and context engineering to improve output quality, reduce hallucinations, and manage conversational state effectively
• 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

Python

LLM Systems

MLOps

Cloud GPU

Docker/Kubernetes

OpenAI API

LangChain

Outils

Hugging Face Transformers

LangChain

Docker

Kubernetes

FastAPI

AWS

Description du poste

Sagacify, part of Craftzing, is seeking a Mid-Level AI Systems Engineer to build production-grade AI systems with a strong focus on generative AI and MLOps. You will split time roughly 60-70% on AI Engineering and 30-40% on MLOps, collaborating across teams and reporting to the Head of ML.

You’ll work with LLMs, agents, and RAG pipelines, designing, deploying, and operating scalable AI services. 3–5 years in AI/ML and fluency in Dutch, English or French (or at least the first two languages) are