Generative AI Engineer, Proximus Group

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Contract

Vooltijds, Onbepaalde duur

Datum gepubliceerd

2026-03-07

Online to:

2026-05-06
EUR 20.00 HOUR

Generative AI Engineer

Proximus Group
België
6 uren geleden

ppAre you a passionate machine learning engineer with expertise in generative AI? Join ourbMachine Learning Enablers /b team at Proximus Ada, where you’ll play a key role in advancing and scaling generative AI capabilities across teams. You will leverage your expertise in architectures such asbretrieval-augmented generation (RAG) /b andbagent-based systems /b to develop and maintain reusable components and templates that enable data scientists to deliver impactful solutions. /p pIn this role, you will collaborate closely with data scientists in delivery teams and engineers from our Cloud and DevSecOps teams to implement best practices and ensure technical excellence across multiple projects. Using frameworks such asbLangChain /b andbLangGraph /b and ourbAzure-first /b stack, you will maintain and expand a shared repository of reusable generative AI assets that enable scalable, reliable solutions. /p pYour innovative mindset will help identify emerging techniques and translate them into practical building blocks that deliver business value, keeping our teams aligned with the latest advances. Your work will support the day-to-day needs of our data scientists through the practicalbmaintenance /b, bhands-on support /b, and enhancement of shared assets, while also driving innovation in our generative AI initiatives. /p h3Responsibilities /h3 h3Develop and MaintainourGenerative AI Repository /h3 ul liManage and expand our shared repository of reusable Generative AI components and templates, ensuring it is robust, up-to-date, well-documented, and easy to adopt across use cases. /li liSupport onboarding and adoption: help teams use the repository effectively, keep alignment with the main branch, andfacilitateclean integration of shared changes. /li liCollaborate with data scientists to identify new components to build, provide technical support, and promote best practices in using the repository. /li liDrive key upgrades and migrations of core libraries and templates (e.g.,LangChain/LangGraph) with minimal disruption to delivery teams. /li /ul h3Enable Agent-Based and Generative AI Solutions /h3 ul liGuide delivery teams on architectures such as retrieval-augmented generation (RAG) and agent-based systems, providing hands-on technical support and troubleshooting when needed. /li liResearch and prototype emerging techniques, frameworks, and Azure services; translate validated approaches into reusable building blocks for delivery teams. /li /ul h3Collaborate and Drive Technical Excellence /h3 ul liDefine and promote software engineering best practices for Generative AI solutions (testing, code quality, style, automation) and enforce them through PR reviews and shared standards. /li liCollaborate with Cloud, DevSecOps, enterprise architecture, and vendors to ensure solutions and technologies align with our stack and constraints. /li liStay current with advances in Generative AI and communicate relevant learnings and recommendations to the organization. /li /ul h3Education /h3 ul liMaster’s degree in Artificial Intelligence, Computer Science, Software Engineering, Engineering, Statistics, Mathematics, or a related quantitative field. /li liA Ph.D. is a plus, especially with research in Generative AI or agent-based systems. /li /ul h3Professional Experience /h3 ul liMinimum ofb 2+ years /b of relevant experience in a business environment in AI/ML engineering or software engineering. /li liProven experience working with generative AI models and LLMs in real-world projects. /li liDemonstrated ability to build reusable components and templates, and transition proof-of-concepts into production-ready assets. /li liExperience collaborating with delivery teams and stakeholders, providing technical guidance and support. /li /ul h3Technical Skills /h3 ul liStrong coding skills in bPython /b, with solid software engineering best practices (testing, code quality, documentation, maintainable design). /li liProficiencywith version control (bGit /b) and modern development workflows, including CI/CD pipelines. /li liHands-on experience with Microsoft Azure and relevant Azure Data AI services. /li liExperience with Generative AI frameworks such asLangChain; familiarity withLangGraphis a plus. /li liExperience implementingbMLOps /bbest practices (e.g., experiment tracking withMLflow). /li liFamiliarity with monitoring and evaluation practices for Generative AI applications. /li /ul h3Soft Skills /h3 ul liStrong problem-solving and analytical skills, with attention to detail. /li liClear communication skills, including the ability to explain technical concepts, provide actionable guidance, and produce high-quality documentation. /li liCollaboration and enablement mindset: comfortable supporting and mentoring others through code reviews and hands-on troubleshooting. /li liOwnership and autonomy: able to prioritize effectively and drive work to completion in a transversal context. /li liCuriosity and innovation mindset: proactive in exploring new techniques and translating them into practical improvements. /li /ul h3Languages /h3 ul liFluent in English and preferably also French and/or Dutch. /li /ul /p #J-18808-Ljbffr

Solliciteren

Generative AI Engineer

Contract

Datum gepubliceerd

Online to:

Generative AI Engineer

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