AI Systems Engineer

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

Want to create a positive impact through AI? Founded as one of the first AI companies in Belgium with a mission to create a meaningful impact, we are believers in automation and efficiency. We see Artificial Intelligence as a toolbox that will allow us to automate more of the growing list of tasks that no longer require human-level cognition.

We are a tech team specialising in AI engineering, LLM systems, and MLOps. At Sagacify, part of Craftzing, you will find a collaborative human-sized environment with a great team spirit where you can bring ideas and take responsibilities in the areas you want to evolve in, regardless of your level of experience. We strive to create innovative digital solutions with a lasting impact, in a fun atmosphere where remote work, flexible schedules and regular team events are part of our culture.

We are looking for skilled people and team players to join the adventure.

Your Role

We're on the lookout for a Mid-Level AI Systems Engineer who bridges AI engineering and MLOps. Someone who loves getting hands-on with LLMs, agents, and RAG pipelines, and who cares just as much about what happens once a model reaches production as about building it in the first place. In this role, you'll design, build, deploy, and operate production-grade AI systems, with a strong focus on generative AI, LLM-based applications, and reliable machine learning operations. In practice your time is split roughly between 60-70% AI Engineering and 30-40% MLOps.

In this role you sit at the intersection of engineering and operations, working across teams and disciplines. You'll report to the Head of ML at Sagacify and collaborate with the wider Sagacify and Craftzing delivery organisation. A role that can naturally grow towards a Team Lead position over time.

What You'll Do

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 open-source tools such as 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

What You’ll Work With

Core technologies :

• Python
• OpenAI API, Hugging Face Transformers
• LangChain, LangGraph, Langfuse
• FastAPI or Flask, Docker, Kubernetes, CI/CD pipelines
• Cloud GPU
• AWS (S3, SQS, IAM, RDS, etc.)
• Cursor

Bonus Points For Experience With

• TypeScript
• Azure
• AI-native engineering workflows: hands-on experience using AI coding agents and AI-assisted development environments (Cursor, Claude Code, Windsurf, Copilot, etc.), including context engineering, subagent orchestra…

About You

• You have 3 to 5 years of experience in AI/ML engineering or related fields
• You have a solid understanding of LLM fundamentals: Transformers, attention mechanisms, generation parameters and fine-tuning approaches
• You have strong problem-solving ability and algorithmic creativity
• You communicate clearly with both technical and non-technical stakeholders
• You have a team spirit and enjoy collaborating across multiple roles
• You bring rigour, responsiveness and a good incident-handling mindset
• You're autonomous, curious, and quick to learn new tools
• You can communicate fluently in Dutch, English and French, or at least the first two languages

Don’t worry if you don’t tick every single box, what matters most is the right mindset and a drive to learn. If you think we’re a match, we’d love to hear from you.

Why You Will Love Working With Us

Sagacify is part of Craftzing, and together we build AI solutions that create lasting impact for our clients. You will be part of a team of enthusiasts who love to learn, continuously develop new skills and fast-track our customers' AI journey across various industries.

At Sagacify (Craftzing), you get the trust and space to do your best work - in a human-sized environment with real team spirit, flexible working and room to take ownership.