In het kort
DevOps Engineer -AI Engineer for GenAI Assistants within Customer Service bij Rabobank in Utrecht. Het betreft een detachering-functie voor 36 uur per week met een looptijd van zo spoedig mogelijk. Deze opdracht sluit te snel om nog te kunnen bemiddelen.
Position
AI Engineer — GenAI Assistants (Customer Service)
Location: Utrecht
Employment: 1.0 FTE (full-time)
Role overview
You will prepare enterprise data and knowledge for advanced AI assistants and apply evaluation frameworks across single-turn, multi-turn, simulation-based, and agentic scenarios. You will work in a hybrid setup, collaborating closely with teams to implement conversational and AI concepts to ensure assistants provide accurate, grounded, and reliable support to advisors.
Key responsibilities
- Collaborate within a scrum team to prepare, structure, enrich, and validate enterprise data for AI knowledge bases and chatbots.
- Build and maintain data pipelines in Databricks to process structured and unstructured data for AI knowledge bases.
- Apply evaluation frameworks to test chatbots across single-turn, multi-turn, simulation-based, and agentic scenarios.
- Prepare, clean, transform, and enrich source data to improve information quality and reliability for AI assistants.
- Create and maintain evaluation datasets covering realistic conversations, complex cases, edge cases, and multi-step workflows.
- Implement automated testing, monitoring, and quality gates for changes to data, prompts, models, retrieval, and orchestration.
- Deploy and manage cloud infrastructure using Infrastructure as Code (particularly Azure Bicep) and CI/CD pipelines.
- Analyse evaluation results and translate findings into improvements across knowledge, retrieval, prompts, tools, and application logic.
Your profile
- Mindset: Strong engineering and data-quality mindset with an affinity for Agile development; proactive, hands-on approach; strong critical thinking, ownership and accountability.
- Communication: Excellent communication skills and customer-centric attitude.
- Education & Languages: Relevant HBO or university degree. Fluency in English and Dutch mandatory.
Required skills
- Strong proficiency in Python and experience with data engineering and automated testing.
- Hands-on experience with Azure, Databricks, DevOps, CI/CD, and Infrastructure as Code (preferably Bicep).
- Experience building data pipelines and preparing structured and unstructured enterprise data for AI knowledge bases and RAG applications.
- Experience applying evaluation methods to advanced chatbots, including multi-turn, simulated, and agentic interactions.
- Familiarity with Context Engineering, Agentic AI, Function Calling, retrieval strategies, and tool use.
Employment details
- Work model: Hybrid; ideally one day per week onsite in Utrecht. The team coordinates remote/office days and works from the office on Mondays.
- Contract type: Freelance/self-employed (ZZP) not allowed.
Eisen
- Language: English and Dutch mandatory
- Relevant HBO or university degree and fluency in English
- Strong proficiency in Python and experience with data engineering and automated testing
- Hands-on experience with Azure, Databricks, DevOps, CI/CD, and Infrastructure as Code, preferably Bicep
- We would like to receive the personal motivation and CV in Dutch
- The candidate may be submitted for only one application at a time
- It is also important that the candidate is available for the entire period requested in the application
- The candidate has a valid identification document, a passport or ID card, which must be valid both at intake and on the contract start date, and can be presented for verification
Wensen
- Language: English and Dutch mandatory
- We would like to receive the personal motivation and CV in Dutch
- Relevant HBO or university degree and fluency in English
- Hands-on experience with Azure, Databricks, DevOps, CI/CD, and Infrastructure as Code, preferably Bicep
- Strong proficiency in Python and experience with data engineering and automated testing
- Experience building data pipelines and preparing structured and unstructured enterprise data for AI knowledge bases and RAG applications
- Experience applying evaluation methods to advanced chatbots, including multi-turn, simulated, and agentic interactions
- Familiarity with Context Engineering, Agentic AI, Function Calling, retrieval strategies, and tool use
Hoe werkt het sollicitatieproces?
Solliciteer direct
Vul je gegevens in via het formulier hieronder. Duurt minder dan 2 minuten — geen account vereist.
Analyse binnen 1–2 werkdagen
Een van onze recruiters beoordeelt je geschiktheid kritisch en neemt persoonlijk contact op — via WhatsApp, telefonisch of e-mail, wat jij prefereert.
Aanbieding op maat
In samenspraak met jou maken wij de aanbieding in orde. Wij beheren het aanbiedingsproces en begeleiden je waar nodig.
Aan de slag
Wij blijven beschikbaar voor vragen en ondersteuning — ook na plaatsing. Transparant, persoonlijk en zonder verrassingen.
Veelgestelde vragen
Wat kost het als ik via Jobhob word geplaatst als ZZP'er?
Voor ZZP-opdrachten hanteert Jobhob een fee van 10% over het geboden uurtarief van de opdrachtgever. Dit wordt vooraf transparant gecommuniceerd — geen verborgen kosten of verrassingen.
Hoe snel hoor ik iets na mijn sollicitatie?
Binnen 1 tot 2 werkdagen neemt een Jobhob-recruiter persoonlijk contact met je op. We doen eerst een kritische analyse op geschiktheid en geven je altijd eerlijke feedback — ook als we je op dit moment niet verder kunnen helpen.
Via welk kanaal neemt Jobhob contact met mij op?
Alle correspondentie verloopt persoonlijk via het kanaal dat jij prefereert: WhatsApp, telefonisch of e-mail. Je geeft je voorkeur op bij je sollicitatie.
Kan ik solliciteren als ik niet zeker weet of ik geschikt ben?
Ja, zeker. Onze recruiter doet de kritische analyse op geschiktheid. Twijfel je? Solliciteer gewoon — wij laten je weten of er een match is en bespreken eventueel alternatieven met je.