8 beste vacatures voor de functie van lead python & data in brussels, bru (nieuwe medewerkers gezocht)

AI Large Language Model (LLM) Engineer
Accenture —Brussel
- Voltijds
- Computerwetenschappen
- Informatica
- Master
Senior AI Engineer
Laco —Diegem
- Voltijds
- Azure
- Machine learning
- Artificiële intelligentie
Azure Cloud Platform Architect
Devoteam Belgium —Machelen
- Voltijds
- Hybride werken
- Computerwetenschappen
- Microsoft Access
- Azure
Snel solliciteren
Senior Azure Cloud-Native Developer/Architect
Devoteam Belgium —Machelen
- Voltijds
- Hybride werken
- Computerwetenschappen
- Azure
- Informatica
Snel solliciteren
Cloud-Native Software / Solutions Architect
Devoteam Belgium —Machelen
- Voltijds
- Hybride werken
- Azure
- Java
- Master
Snel solliciteren
Experienced Senior/Medior Mobile Developer (React Native)
Octiva —Leuven
- Voltijds
- Hybride werken
- Computerwetenschappen
- Informatica
- Master
Snel solliciteren
NATO-NCIA-AAS+ - 189159-2 - C004884 - Senior Engineer DCS (NaaS)
Spektrum —Eigenbrakel
- Voltijds
- Analytisch vermogen
- Python
Snel solliciteren
4 dagen
EMEA RGM Lead - Promo, Mix, Tools
AkzoNobel —Vilvoorde
- Microsoft Excel
- Master
- SQL
Snel solliciteren
1 uur

More jobs to discover

Find similar jobs that you might be interested in.

Digital Transformation Business Analyst
FedEx EU —Machelen
Wij tolereren geen enkele vorm van discriminatie of intimidatie op basis van ras, huidskleur, etniciteit, nationale afkomst, religie, geslacht, leeftijd,…
4 dagen
Digital Transformation Business Analyst
FedEx EU —Machelen
Wij moedigen je aan om te solliciteren, ook al denk je dat jouw ervaring niet volledig aansluit bij alle aspecten van de functiebeschrijving, wellicht ben jij…
4 dagen

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van lead python & data in brussels, bru

Door in te loggen op je account, ga je akkoord met de Algemene voorwaarden van SimplyHired en stem je in met ons Cookie- en privacybeleid.

Zoek vacatures in meer locaties

lead python & data jobs near brussels, bru

Vacatures voor een Ai Developer in Nijvel

Vacatures voor een Lead Front End Developer in Enghien

Vacatures voor een Web Developer in Région Wallonne

Vacatures voor een Developer in Luik (provincie)

Vacatures voor een Ai Developer in Berchem

Vacatures voor een Ai Developer in Bruxelles Schaarbeek

Vacatures voor een Solution Architect in Waregem

Vacatures voor een Project Architect in Ghent

Vacatures voor een Architect Paysage in Brussel

Vacatures voor een Solution Architect in Liège (city)

Vacatures voor een Solution Architect in Antwerpen (provincie)

Vacatures voor een Network Architect in Brussel

Vacatures voor een Solution Architect in Liège

Vacatures voor een Senior Engineer in Lommel

Vacatures voor een Packaging Engineer in Brussels

Vacatures voor een Senior Engineer in Puurs

Vacatures voor een Computer Vision Engineer in Antwerpen

Vacatures voor een Senior in Charleroi

Vacatures voor een Property Manager in Antwerpen

Vacatures voor een Quality Manager in West Vlaanderen

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

Nu solliciteren

Verfijn je zoekopdracht

lead python & data vacatures in brussels, bru

AI Large Language Model (LLM) Engineer

Senior AI Engineer

Azure Cloud Platform Architect

Senior Azure Cloud-Native Developer/Architect

Cloud-Native Software / Solutions Architect

Experienced Senior/Medior Mobile Developer (React Native)

NATO-NCIA-AAS+ - 189159-2 - C004884 - Senior Engineer DCS (NaaS)

EMEA RGM Lead - Promo, Mix, Tools

More jobs to discover

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van lead python & data in brussels, bru

Related Searches

Zoek vacatures in meer locaties

Tools voor werkzoekenden

Werkgeverstools

Bladeren

Blijf verbonden