JobID=4830_817173 (0.0441)
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)