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We're on the lookout for a Mid-Level AI Systems Engineer who bridges AI engineering and MLOps. Someone who loves getting hands-on with LLMs, agents, and RAG pipelines, and who cares just as much about what happens once a model reaches production as about building it in the first place. In this role, you'll design, build, deploy, and operate production-grade AI systems, with a strong focus on generative AI, LLM-based applications, and reliable machine learning operations. In practice your time is split roughly between 60-70% AI Engineering and 30-40% MLOps.
In this role you sit at the intersection of engineering and operations, working across teams and disciplines. You'll report to the Head of ML at Sagacify and collaborate with the wider Sagacify and Craftzing delivery organisation. A role that can naturally grow towards a Team Lead position over time.
What you'll do :
AI Engineering (60-70%)
- Orchestrate AI system components: LLMs, vector databases, APIs, orchestration layers, and user interfaces
- Develop autonomous agents and conversational systems that can plan actions and interact with external tools or APIs
- Build and optimise RAG pipelines connecting enterprise data sources to LLMs for grounded, contextualised, reliable answers
- Evaluate system quality through generative AI metrics, coherence tests, and production monitoring (latency, API costs, bias)
- Deploy and scale solutions with strong attention to latency, security, reliability and cost efficiency
- Keep an eye on the ecosystem for new models, frameworks and techniques, including open-source tools such as LangChain, LangGraph, Langfuse, etc.
- Perform prompt and context engineering to improve output quality, reduce hallucinations, and manage conversational state effectively
MLOps (30-40%)
- Build and maintain automation for model deployment, including CI/CD pipelines and automated testing
- Continuously monitor model performance in production, including drift detection and quality metric tracking
- Manage updates of libraries, models, and related dependencies in production environments
- Ensure versioning, reproducibility and safe rollout of models and AI services
- Collaborate closely with ML engineers, developers, DevOps and infrastructure teams for smooth delivery
- Stay current with the latest MLOps practices, tools and platform components
You stay in the code, you stay curious about what happens after deployment, and you keep learning as you go.
- You have 3 to 5 years of experience in AI/ML engineering or related fields
- You have a solid understanding of LLM fundamentals: Transformers, attention mechanisms, generation parameters and fine-tuning approaches
- You have strong problem-solving ability and algorithmic creativity
- You communicate clearly with both technical and non-technical stakeholders
- You have a team spirit and enjoy collaborating across multiple roles
- You bring rigour, responsiveness and a good incident-handling mindset
- You're autonomous, curious, and quick to learn new tools
- You can communicate fluently in Dutch, English and French, or at least the first two languages
Don’t worry if you don’t tick every single box, what matters most is the right mindset and a drive to learn. If you think we’re a match, we’d love to hear from you.
- Het definiëren en beheren van de digitale strategie voor BENU, in lijn met de algemene Retail doelstellingen.
- Volledige P&L-verantwoordelijkheid, inclusief Netto Omzet, bijdragemarge en kostenbeheer.
- Dagelijkse, wekelijkse en maandelijkse analyse van bedrijfsprestaties om bruikbare inzichten te genereren die bijdragen aan digitaal commercieel succes.
- Het stimuleren van commerciële prestaties door middel van assortimentsstrategie, prijsstelling, promoties, campagnes en conversie-optimalisatie.
- Coördinatie met fulfilment/supply chain en klantenservice om de leveringsbelofte en de post-aankoopervaring te waarborgen.
- Afstemming met de Digital Marketing Manager over de strategie voor klantacquisitie, -retentie en customer lifetime value.
- Continue optimalisatie, samen met het eCom-team, van de end-to-end customer journey (verkeer => conversie => fulfilment => after-sales).
- Ontwikkeling van omnichannel-integratie door het verhogen van Click & Collect adoptie en het opbouwen van een sterkere relatie met het winkelnetwerk.
- Leiden, coachen en ontwikkelen van cross-functionele eCommerce teamleden, met duidelijke doelstellingen, verantwoordelijkheden en prestatiemanagement.
- De RX Category Manager in staat stellen om het aandeel van digitale RX-inkomsten te vergroten en de operaties voor de RX-business te versterken.
- Beheer van de eCommerce product roadmap samen met het externe ontwikkelingsbureau, waarbij prioriteit wordt gegeven aan de backlog, levering wordt beheerd en platformevolutie (Shopify Plus / headless), siteprestaties en integraties (PIM, ERP, OMS, betaling, fulfilment) worden overzien.
For this challenging role, we are looking for a driven and experienced professional who meets the following criteria:
- At least 8 years of relevant experience in e-commerce, retail, or digital commercial environments.
- Familiarity with tools such as GA4, Shopify Plus, and Algolia.
- Strong skills in stakeholder management, with experience collaborating with senior commercial leadership.
- Experience with external development/agency partners and managing a roadmap.
- A hands-on, entrepreneurial mindset, comfortable building and managing a start-up-style business unit within a larger corporate environment.
- Curious and forward-thinking: actively experimenting with AI and emerging tools, learning quickly, and scaling up what works.