20 beste vacatures voor de functie van stack developer team in londerzeel (nieuwe medewerkers gezocht)

AI Large Language Model (LLM) Engineer
Accenture —Brussel
- Voltijds
- Computerwetenschappen
- Informatica
- Master
Experienced Xamarin Developer
Simbios —Brussel
- Oracle
- Databases
- SQL
Senior Full Stack Guidewire Developer
Expleo —Brussel
- Azure
- Java
- SQL
Java Developer
Thoughtlabs —Brussel
- Voltijds
- Azure
- Java
- SQL
Decision Intelligence Solution Architect
Deloitte —Zaventem
- Deeltijds
- Azure
- DevOps
- Java
Senior .NET/Python Developer-Architect | Energy Sector
Etinars —Mechelen
- € 520 - € 545 per dag
- Azure
- Engels
- Master
Snel solliciteren
Senior Java Developer
Wire IT —Brussel
- € 28.000 - € 52.000 per jaar
- Voltijds
- Java
- Taalopleiding voorzien
Snel solliciteren
12 dagen
Senior Java Developer – Brussels (On site) – EUROCONTROL
The White Team —Brussel
- € 475 - € 495 per dag
- DevOps
- Engels
- Java
Senior Full Stack Developer - GenAI Solutions
Artefact —Brussel
- Engels
- Master
- Machine learning
Scale-up Full-Stack DevOps Consultant
Keystone Solutions —Brussel
- Voltijds
- SQL
- API's
- Linux
1 dag
SAP S4HANA Functional Analyst & Developer l Belgium
Talan —Brussel
- Voltijds
- Computerwetenschappen
- Azure
- Informatica
Snel solliciteren
Cloud DevOps Engineer - Consultant
MasORange —Evere
- Voltijds
- Azure
- DevOps
- Java
Lead (AI) Application Engineer
Capgemini —Diegem
- Azure
- Engels
- Java
Senior Java Developer (Data & GIS) voor Databank Ondergrond Vlaanderen (DOV)
Vlaanderen Connect. —Brussel
- € 4.840 - € 6.500 per maand
- Deeltijds
- Java
- SQL
- JavaScript
- Thuiswerkopties
- Pensioensparen
1 dag
Full Stack Java Ontwikkelaar (OVAM)
Vlaanderen Connect. —Brussel
- € 3.920 - € 5.300 per maand
- Voltijds
- Java
- Analytisch vermogen
- Thuiswerkopties
- Pensioensparen
Lead (AI) Platform Engineer
Capgemini Sogeti —Diegem
- Azure
- Engels
- AWS
Senior/Lead Solution Engineer Benelux
Salesforce —Brussel
- Voltijds
- Computerwetenschappen
- Informatica
- Salesforce
Senior Solution Analyst - Integration
Orange Belgium —Bruxelles Evere
- API's
C++ Developer
OpenVPN —Brussel
- Voltijds
- Thuiswerk
- Computerwetenschappen
- Informatica
- AWS
Snel solliciteren
Security Engineer
Elia —Brussel
- Computerwetenschappen
- Azure
- Informatica
8 dagen

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van stack developer team in londerzeel

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AI Large Language Model (LLM) Engineer

Accenture -
Brussel

Nu solliciteren

Vacaturegegevens

Voltijds

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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stack developer team vacatures in londerzeel

AI Large Language Model (LLM) Engineer

Experienced Xamarin Developer

Senior Full Stack Guidewire Developer

Java Developer

Decision Intelligence Solution Architect

Senior .NET/Python Developer-Architect | Energy Sector

Senior Java Developer

Senior Java Developer – Brussels (On site) – EUROCONTROL

Senior Full Stack Developer - GenAI Solutions

Scale-up Full-Stack DevOps Consultant

SAP S4HANA Functional Analyst & Developer l Belgium

Cloud DevOps Engineer - Consultant

Lead (AI) Application Engineer

Senior Java Developer (Data & GIS) voor Databank Ondergrond Vlaanderen (DOV)

Full Stack Java Ontwikkelaar (OVAM)

Lead (AI) Platform Engineer

Senior/Lead Solution Engineer Benelux

Senior Solution Analyst - Integration

C++ Developer

Security Engineer

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van stack developer team in londerzeel

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