20 beste vacatures voor de functie van ai development in brussels, bru (nieuwe medewerkers gezocht)

AI Large Language Model (LLM) Engineer
Accenture —Brussel
- Voltijds
- Computerwetenschappen
- Informatica
- Master
14 dagen
Conversational AI Specialist
Telenet —Mechelen
- Voltijds
- Hybride werken
- Engels
- Master
- Bachelor
Data & AI governance expert
Telenet —Mechelen
- Voltijds
- Hybride werken
- Engels
- Master
- Artificiële intelligentie
Ai-Native Functional Analyst
Isabel NV —Brussel
- Voltijds
- Hybride werken
- Bachelor
- Artificiële intelligentie
- Managementervaring
Snel solliciteren
Junior Infrastructure AI Specialist
Accenture —Brussel
- Voltijds
- Microsoft Excel
- Azure
- Master
10 dagen
AI Consultant
Capgemini —Diegem
- Machine learning
- Artificiële intelligentie
- Communicatieve vaardigheden
Conversational LLM AI Expert (Freelance)
Smile Group —Sint-Pieters-Woluwe
- Hybride werken
- DevOps
- Engels
- Master
Snel solliciteren
LaTex Specialist (Fluent in French) - Freelance AI Trainer Project
Meridial —Brussel
- € 8 - € 65 per uur
- Thuiswerk
- Computerwetenschappen
- Informatica
- Master
AI Governance Specialist
Elia —Brussel
- Engels
- Master
- Artificiële intelligentie
Internship - EU Public Affairs - Technology
Burson Global —Brussel
- Hybride werken
- Microsoft Excel
- Socialemediabeheer
- Onderzoek
AI Research Engineer (Multi-Modal & Vision) - 100% Remote Worldwide
Tether Operations Limited —Brussel
- Voltijds
- Thuiswerk
- Computerwetenschappen
- Doctoraat
- Informatica
AI Product Manager
Telenet —Mechelen
- Voltijds
- Hybride werken
- Master
- Projectmanagement
- Machine learning
AI Analyst
Sopra Steria —Brussel
- Artificiële intelligentie
Business Development Manager – AI & Cybersecurity (Belgium & EU Institutions)
Wavestone —Sint-Joost-ten-Node
- Voltijds
- Verkoopervaring
- Salesforce
- Engels
3 dagen
Business and project Analyst Intelligent Automation
Expleo —Brussel
- Engels
- Master
- Secundair Onderwijs
Business Development Manager Microsoft Cloud, Data & AI (Enterprise Focus)
Devoteam Belgium —Machelen
- Voltijds
- Hybride werken
- Azure
- Verkoopervaring
Snel solliciteren
Internship AI and Data - Financial Services
EY —Diegem
- Computerwetenschappen
- Informatica
- Java
Senior Consultant – EU Education and Training Policy – EU Consulting (research and programme implementation role)
ICF —Brussel
- Voltijds
- Schrijfvaardigheden
- Onderzoek
- Artificiële intelligentie
Client AI Solution Lead
Sopra Steria —Machelen
- Voltijds
- Thuiswerk
- Master
- Bedrijfsontwikkeling
- Communicatieve vaardigheden
Snel solliciteren
Junior Infrastructure Service Delivery Lead
Accenture —Brussel
- Voltijds
- Microsoft Excel
- Azure
- DevOps
10 dagen

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AI Large Language Model (LLM) Engineer

Accenture -
Brussel

Nu solliciteren

Vacaturegegevens

Voltijds
14 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 development vacatures in brussels, bru

AI Large Language Model (LLM) Engineer

Conversational AI Specialist

Data & AI governance expert

Ai-Native Functional Analyst

Junior Infrastructure AI Specialist

AI Consultant

Conversational LLM AI Expert (Freelance)

LaTex Specialist (Fluent in French) - Freelance AI Trainer Project

AI Governance Specialist

Internship - EU Public Affairs - Technology

AI Research Engineer (Multi-Modal & Vision) - 100% Remote Worldwide

AI Product Manager

AI Analyst

Business Development Manager – AI & Cybersecurity (Belgium & EU Institutions)

Business and project Analyst Intelligent Automation

Business Development Manager Microsoft Cloud, Data & AI (Enterprise Focus)

Internship AI and Data - Financial Services

Senior Consultant – EU Education and Training Policy – EU Consulting (research and programme implementation role)

Client AI Solution Lead

Junior Infrastructure Service Delivery Lead

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van ai development in brussels, bru

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