Are you an AI Engineer and do you have experience with developing LLM-based applications?
How about a role at a financial institution in Utrecht?
General information
Start date:Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â 2-03-2026
Duration: Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â First contract is till 31-12-2026, with expected extensions
No. of working hours: Â Â Â 36 hours per week
Location: Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Hybrid, with 2 days per week in Utrecht (Monday and Wednesday)
Contract type: Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Payroll
VISA sponsorship:Â Â Â Â Â Â Â Â Â Â Â Â Yes if already in the EU
What is the project about?
Drive innovation by designing, building, and validating AI applications within a regulated banking environment. As a Senior AI Engineer, you collaborate with data scientists and business stakeholders to operationalise AI models and ensure compliance with standards. Together you translate business challenges into experiments. Your role is to make it happen technically: assessing feasibility, building prototypes, and iterating toward solutions that work in practice. The team works closely with the central GenAI Acceleration Office and colleagues around the world.
You will join an environment that offers autonomy, technical depth, and visible impact. You will help build the GenAI stack for the future and shape how thousands of colleagues worldwide use AI in a responsible, efficient, and enjoyable way.
Practical examples
- In your first month, you will help set up the experiment for one of our use cases within the secure platform. This includes configuring RAG pipelines in Databricks, running prompting workshops with business subject matter experts, and building an evaluation suite.
- Beyond project work, you will help other engineers skill up and grow into AI engineering roles. You will also be expected to think along with the next generation of AI innovations: assessing feasibility of AI solutions for business problems, facilitating the technical side of prompting workshops, and turning ideas into prototype plans.
Top responsibilities
- Build prototypes and proof-of-concepts for GenAI use cases, from RAG pipelines to agent architectures
- Configure and optimize LLM workflows, vector databases, and retrieval systems in Databricks and Azure
- Develop evaluation suites to measure solution quality, including prompt testing and output validation
- Assess technical feasibility of proposed AI solutions and advise the team on what is realistic
- Facilitate the technical side of prompting workshops with business subject matter experts
- Integrate GenAI components with existing data infrastructure and enterprise systems
- Mentor engineers and help them develop AI engineering skills
- Contribute to technical vision and knowledge sharing within the team
Required
- 5+ years in technical role (DevOps, software engineering, ML or data science)
- Proven experience in developing LLM-based applications, including prompt engineering and evaluation
- Strong hands-on expertise in Python, SQL, API development and modern AI/ML tooling
- Experience with Databricks or similar data platforms
- Experience with Azure AI services (Azure OpenAI, AI Search, Document Intelligence)
- Understanding of vector databases and RAG patterns for retrieval-augmented generation.
- Security and observability awareness: best practices for monitoring, compliance, and reliability in AI systems.
- Comfort with ambiguity, iterative problem-solving, and changing priorities
Valuable additions
- Track record of working directly with non-technical stakeholders to gather requirements and align on solutions
- Knowledge of agentic frameworks, RAG architectures, or multi-agent orchestration
- Background in financial services or other regulated industries
Does this role spark your interest? Then please provide me with your most recent resume and contact details, so that we can discuss this vacancy more detailed by phone!
You can check other job opportunities in our website: Jobs – Magno IT
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