20 beste vacatures voor de functie van ai developer in brussel (nieuwe medewerkers gezocht)

AI Large Language Model (LLM) Engineer
Accenture —Brussel
- Voltijds
- Computerwetenschappen
- Informatica
- Master
13 dagen
Ai-native Full-Stack Developer
Isabel NV —Brussel
- Voltijds
- Hybride werken
- Bachelor
- Linux
- Artificiële intelligentie
Snel solliciteren
Bare Developer (100% Remote - Worldwide) - C / JavaScript
Tether Operations Limited —Brussel
- Voltijds
- Thuiswerk
- C++
- Bachelor
- JavaScript
12 dagen
Junior Infrastructure AI Specialist
Accenture —Brussel
- Voltijds
- Microsoft Excel
- Azure
- Master
9 dagen
AI Large Language Model (LLM) Technology Architect
Accenture —Brussel
- Voltijds
- Master
- Bachelor
- Machine learning
13 dagen
Frontend Software Developer
Sopra Steria —Brussel
- Voltijds
- Computerwetenschappen
- Informatica
- Java
Snel solliciteren
Technology Architect ( AI Platform)
Stanley/Stella —Oudergem
- Voltijds
- Azure
- JavaScript
- Productie
AI Engineer
Xplore Group —Aalst
- Softwareontwikkeling
- API's
- Artificiële intelligentie
- Tankkaart
Pod Developer — Product Pods — UFM Platform
Faubourg Mobility —Brussel
- € 60.000 - € 84.000 per jaar
- Voltijds
- Thuiswerk
- Azure
Snel solliciteren
1 uur
Frontend Developer (Freelance)
Smile Group —Sint-Pieters-Woluwe
- Hybride werken
- Master
- JavaScript
- HTML
Snel solliciteren
Medior AI Engineer
Laco —Diegem
- Voltijds
- Azure
- Machine learning
- Artificiële intelligentie
Data & AI Engineer
COSMOTE GLOBAL SOLUTIONS NV —Brussel
- Azure
- DevOps
- Artificiële intelligentie
Snel solliciteren
8 dagen
Data & AI Product Owner
skeyes —Steenokkerzeel
- Computerwetenschappen
- Master
- SQL
9 dagen
Senior UX Researcher (100% Remote Worldwide)
Tether Operations Limited —Brussel
- Voltijds
- Thuiswerk
- Onderzoek
- Bachelor
- Artificiële intelligentie
ERP and Integration Technology Consultant
Deloitte —Zaventem
- Deeltijds
- Azure
- Oracle
- ERP systemen
Workflow Management & Task and Processes components Developer, Brussels (near-site) – MAIA
The White Team —Brussel
- € 430 per dag
- Hybride werken
- Oracle
- DevOps
- Java
AI and Digital Quality Engineer
Deloitte —Zaventem
- Deeltijds
- Machine learning
- JavaScript
- Scripting
Junior Infrastructure & Cloud Architect
Accenture —Brussel
- Voltijds
- Microsoft Excel
- Azure
- Engels
9 dagen
Forward Deployed Engineer - Public Sector, Nonprofit & Education
Salesforce —Brussel
- Voltijds
- Computerwetenschappen
- Informatica
- Salesforce
14 dagen
Software Engineer - AI/ML
KLA —Leuven
- Voltijds
- Computerwetenschappen
- Doctoraat
- Informatica

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AI Large Language Model (LLM) Engineer

Accenture -
Brussel

Nu solliciteren

Vacaturegegevens

Voltijds
13 dagen geleden

Kwalificaties

Computerwetenschappen
Informatica
Master
Bachelor
Machine learning
Deep learning
NLP
Artificiële intelligentie
Python

Volledige vacaturetekst

As a hands on AI Engineer, you will be at the heart of designing and building the components that make up advanced AI systems powering the modern enterprise. This is a deeply technical, hands-on engineering role — you will spend the majority of your time in the detailed design, development, integration, and testing of AI system components across classical machine learning, generative AI, and agentic systems, delivering these within active client engagements.

You will take detailed architecture and design specifications and translate them into working, production-quality software components. This means writing clean, well-structured code, making low-level design decisions within your assigned scope, and ensuring your components integrate reliably within the broader AI system. You will build and wire together the constituent parts of AI agent systems — including individual agent logic, tool integrations, skills, and memory components — and contribute to the development and integration of foundation and classical ML models into end-to-end pipelines.

A hands-on curiosity for the open source ecosystem is essential in this role. You will continuously evaluate, learn, and adopt relevant open source libraries and frameworks — such as those spanning agent orchestration, vector storage, model serving, and ML pipelines — selecting and applying the right ones for the problem at hand. Equally, you will configure, integrate, and operationalize third-party AI technologies and platform services, understanding their capabilities and constraints deeply enough to make them work reliably within the context of a larger enterprise system. You will engineer components with enterprise-grade qualities in mind, ensuring your work meets defined requirements across security, observability, governance, performance, and scalability. You will write and maintain the technical artifacts that accompany your engineering work — including low-level design documents, component specifications, and integration contracts — ensuring your work is well-documented, testable, and handoff-ready. You will operate as a practitioner within cross-functional delivery teams alongside data engineers, ML engineers, and application developers, taking direction from lead and principal architects while contributing meaningfully to technical problem-solving and design discussions within your domain. This role is an opportunity to build deep, hands-on expertise across the AI engineering stack, develop strong software engineering fundamentals applied to cutting-edge AI systems, and grow toward a lead engineer or architect role over time.

THE WORK

Design, build, and configure individual agents — including their prompts, tools, and skills — and integrate them into multi-agent workflows

Implement agent orchestration logic that handles task handoffs, communication, and error recovery

Build evaluation harnesses and test suites that measure agent and component quality on metrics such as accuracy, relevance, and faithfulness, and share findings to inform design improvements

Integrate foundation models into applications, selecting the appropriate model and invocation pattern for each use case

Build and run model fine-tuning pipelines — including data preparation and training — to adapt models to specific business domains, applying working knowledge of transformer-based architectures

Build ingestion pipelines that parse, chunk, enrich, and index unstructured enterprise content for retrieval

Implement embedding generation, integrate vector databases, and develop retrieval components, including connectors and adapters that process unstructured content into end-to-end RAG pipelines

Build the logic that assembles prompts and manages what information is passed to the model within its context window

Implement memory components that store and recall conversational history and other relevant context

Implement input/output guardrails, content filtering, and defenses against prompt injection

Build PII detection and redaction components and integrate access controls for model and tool access

Implement versioning, audit logging, and lineage tracking, and maintain model documentation that keeps the system auditable

Instrument components with logging and tracing for requests, responses, token usage, and tool calls

Contribute to monitoring, alerting, and cost tracking that keep AI systems healthy in production

Continuously learn and apply new design patterns, technologies, and frameworks across the fast-evolving AI landscape, bringing fresh approaches to the components you build

Collaborate within cross-functional teams to clarify requirements and ensure your components meet stakeholder needs

Create and maintain clear technical documentation for the components you build, supporting troubleshooting and future development

EDUCATION

Bachelor's Degree in Computer Science, Computer Engineering, Data Science, or a related engineering discipline

BASIC (REQUIRED) QUALIFICATION

Experience (work or coursework) in designing, coding, building advanced AI solutions using agentic, generative and classical AI/ML using at least one cloud vendor.

Experience (work or coursework in the Agentic, LLM and Generative AI space.

Experience (work or coursework) architecting and operationalizing LLM driven application architecture patterns.

Experience in coding and engineering, machine learning, deep learning and NLP solutions and applications.

Coding experience using Python

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ai developer vacatures in brussel

AI Large Language Model (LLM) Engineer

Ai-native Full-Stack Developer

Bare Developer (100% Remote - Worldwide) - C / JavaScript

Junior Infrastructure AI Specialist

AI Large Language Model (LLM) Technology Architect

Frontend Software Developer

Technology Architect ( AI Platform)

AI Engineer

Pod Developer — Product Pods — UFM Platform

Frontend Developer (Freelance)

Medior AI Engineer

Data & AI Engineer

Data & AI Product Owner

Senior UX Researcher (100% Remote Worldwide)

ERP and Integration Technology Consultant

Workflow Management & Task and Processes components Developer, Brussels (near-site) – MAIA

AI and Digital Quality Engineer

Junior Infrastructure & Cloud Architect

Forward Deployed Engineer - Public Sector, Nonprofit & Education

Software Engineer - AI/ML

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van ai developer in brussel

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