14 beste vacatures voor de functie van programmeur in waterloo (nieuwe medewerkers gezocht)

AI Systems Engineer (Sagacify)
Craftzing —Sint-Pieters-Woluwe
- € 3.000 - € 4.500 per maand
- Voltijds
- Hybride werken
- Tweetalig
- Azure
- Master
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Azure DevOps Engineer
Keystone Solutions —Brussel
- Voltijds
- Computerwetenschappen
- Azure
- Informatica
6 dagen
Medior Fabric Data Engineer
Laco —Diegem
- Voltijds
- Azure
- SQL
- Artificiële intelligentie
Principal Biostatistician , FSP - Permanent Homebased (m/w/d)
IQVIA —Zaventem
- Voltijds
- Thuiswerk
- CRM-systemen
- Doctoraat
- Master
TANZANIA CONSULTANCY - PUBLIC FUNDING AND INNOVATIVE FUNDRAISING STRATEGY DEVELOPMENT
WWF-België —Brussel
AWS AI Engineer
Devoteam Belgium —Machelen
- Voltijds
- Hybride werken
- Computerwetenschappen
- Azure
- Informatica
Snel solliciteren
WWF- DRC IS LOOKING FOR A PROGRAM DEVELOPMENT AND POLICY COORDINATOR
WWF-België —Brussel
- Engels
- Onderzoek
- Master
Experienced Oracle Engineer
Simbios —Brussel
- Oracle
- Databases
- SQL
Medior Databricks Data Engineer
Laco —Diegem
- Voltijds
- Azure
- DevOps
- SQL
TENDER NOTICE REF.15 CONSULTANCY FOR VILLAGE DEVELOPMENT FUNDS
WWF-België —Brussel
Java Cloud Engineer
Yechte —Brussel
- € 41.896,38 - € 82.761,10 per jaar
- Voltijds
- Computerwetenschappen
- Azure
- Informatica
Snel solliciteren
11 dagen
Back-End Java s Cloud Engineer (m/w/d)
Everience Benelux —Brussel
- Voltijds
- Hybride werken
- Computerwetenschappen
- Azure
- Informatica
Snel solliciteren
14 dagen
TENDER NOTICE: REF.14 DEVELOPMENT OF INVESTMENT GUIDELINES ON SOLAR ROOFTOP PROJECTS
WWF-België —Brussel
- Master
Learning & Development Specialist
Keytrade Bank —Brussel
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AI Systems Engineer (Sagacify)

Craftzing
Sint-Pieters-Woluwe

Snel solliciteren

Vacaturegegevens

Voltijds
€ 3.000 - € 4.500 per maand

Kwalificaties

Tweetalig
Frans
CI/CD
Azure
Kubernetes
Master
AWS
Docker
Bachelor
Machine learning
S3
Flask
Artificiële intelligentie
TypeScript
Python
Nederlands

Volledige vacaturetekst

Craftzing and Sagacify are looking for a Mid-Level AI Systems Engineer who is equally at home shipping an agent to production as debugging why it drifted three weeks later. Someone who does not see building AI systems and operating them as a trade-off, but as two things that make each other better.

Do you get energy from designing LLM-powered agents and RAG pipelines while staying just as sharp on monitoring, CI/CD and safe rollouts once they're live? Then you will probably feel right at home here.

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

You stay in the code, you stay curious about what happens after deployment, and you keep learning as you go.

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…

Who we're looking for

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'll love working here

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 Craftzing and Sagacify, 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.

Snel solliciteren

Verfijn je zoekopdracht

programmeur vacatures in waterloo

AI Systems Engineer (Sagacify)

Azure DevOps Engineer

Medior Fabric Data Engineer

Principal Biostatistician , FSP - Permanent Homebased (m/w/d)

TANZANIA CONSULTANCY - PUBLIC FUNDING AND INNOVATIVE FUNDRAISING STRATEGY DEVELOPMENT

AWS AI Engineer

WWF- DRC IS LOOKING FOR A PROGRAM DEVELOPMENT AND POLICY COORDINATOR

Experienced Oracle Engineer

Medior Databricks Data Engineer

TENDER NOTICE REF.15 CONSULTANCY FOR VILLAGE DEVELOPMENT FUNDS

Java Cloud Engineer

Back-End Java s Cloud Engineer (m/w/d)

TENDER NOTICE: REF.14 DEVELOPMENT OF INVESTMENT GUIDELINES ON SOLAR ROOFTOP PROJECTS

Learning & Development Specialist

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Ik wil de nieuwste vacature-alerts ontvangen voor de functie van programmeur in waterloo

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