Artificial Intelligence Engineer

Senior AI Engineer (LLM & Conversational Systems)

Background

Within the Marketing Performance domain, we are building a conversational AI assistant designed to help marketers interact with visitation data and, over time, broader performance metrics.

An MVP is already live, supported by a small core team consisting of a Data Science Advisor and an AI Engineer. As we move beyond the pilot phase, we are now focused on evolving this tool into a reliable, scalable assistant embedded within the wider digital ecosystem.

This is an opportunity to join early in the journey - helping define the technical direction, improve reasoning capabilities, expand data integration, and shape how conversational AI supports marketing workflows in practice.

The Role

You will join a small, collaborative squad to design and implement the next phase of our conversational agent. This includes:

• Collaborative Development: Partnering with AI and Data Science colleagues to refine agent logic, improve prompt design, and optimise data retrieval strategies
• Technical Exploration: Evaluating and testing different architectural approaches (eg, expanding data scope, improving summarisation techniques, experimenting with RAG-based systems)
• Scaling the MVP: Evolving the solution from basic visitation summaries to a more robust, production-ready assistant capable of handling increasing complexity
• Knowledge Sharing: Contributing to best practices on how AI agents can be effectively embedded into marketing decision-making workflows

This role suits someone comfortable building while discovering - where experimentation, iteration, and learning are part of the process.

Must-Have Experience:

• Strong Python engineering skills
• Hands-on experience building LLM-powered systems (eg, LangChain, LlamaIndex, or similar orchestration frameworks)
• Solid SQL skills and experience working with structured datasets to generate reliable outputs
• Experience working in exploratory or iterative environments where requirements evolve
• Proven experience taking an LLM-based solution from prototype/demo stage to a reliable, production-usable tool

Nice to Have:

• Experience working with marketing performance metrics or web analytics data
• Familiarity with RAG architectures and retrieval optimization
• Experience designing user-friendly interfaces that make data accessible to non-technical users

What Makes You Successful

• You are a collaborative builder who can quickly integrate into an existing codebase
• You have practical experience turning LLM concepts into usable tools
• You are comfortable with ambiguity and enjoy shaping the “best way forward” through experimentation
• You balance pragmatism (delivering value today) with long-term architectural thinking

Location: Randstad, Hybrid x2 per week

Contract: 12 months- likely extend

Rate/Pay: 80 per hour - interim payroll contract = €5-5.k net monthly pay

(Upto 25 days paid leave, Pension, Expenses covered)