🚀
**Be part of a movement to
change the way Europe pays**
In today’s digital world, payments often still feel outdated: random delays and confusing rules make it harder than it should be to pay and get paid. The European Payments Initiative (EPI) is here to change all that, forever.
With Wero, our digital wallet, we make sending and receiving money simple, seamless and secure across France, Belgium and Germany, with more countries and omnichannel solutions coming soon. Supported by 14 major banks and the two largest European acquirers, EPI is building a new, proudly European payment system: easy, instant and transparent, all for the greater good.
🔎
What's in it for you
We are currently on the lookout for an
AI LLM Engineer
with strong hands-on expertise in large language models and retrieval-augmented generation. You will be a key member of the team, responsible for evaluating cutting-edge generative AI tools, designing and benchmarking RAG systems, and experimenting with advanced prompting techniques.
Beyond building pipelines, you will play a central role in shaping how we ground AI outputs in factual, reliable data, ensuring our solutions are not only powerful but also trustworthy and user-friendly.
🐝 About The Team
You’ll join a pan-European AI team directly reporting to the CTPO of the company. The team is dedicated to building reliable and impactful GenAI solutions and operates in an Agile environment and works closely across countries to design, benchmark, and deploy LLM and RAG systems that truly make a difference. They are located across Europe, in Germany, France, the Netherlands and Belgium.
💥
Your impact
Evaluate and benchmark LLMs and RAG systems using metrics such as accuracy, relevance, latency, and hallucination rate
Test and compare LLM-based tools across tasks like summarization, code generation, and Q\&A
Design and implement end-to-end RAG pipelines, selecting appropriate models, vector stores, and retrieval strategies
Build and optimize semantic search and embedding workflows to ensure scalable, low-latency retrieval
Experiment with prompting strategies (few-shot, chain-of-thought, role-based) to improve coherence and factuality
Collaborate with cross-functional teams to integrate GenAI solutions into workflows and enhance user experience
Stay ahead of trends in LLMs, RAG, and GenAI agents by testing emerging libraries, APIs, and platforms
💻
Technology stack
Languages \& frameworks: Python, PySpark, Numpy, Pandas, TensorFlow
RAG frameworks: LangChain, LlamaIndex, Haystack, Guidance, PromptLayer
LLM \& GenAI platforms: Hugging Face Transformers, OpenAI API, Anthropic Claude, Mistral
Generative AI tools: Microsoft Copilot, GitHub Copilot, Atlassian Rovo
Infrastructure \& deployment: AWS, Docker, Kubernetes
🕵🏻♀️
To succeed, you should meet at least 70% of these requirements
3 to 5 years experience working as a AI Engineer with 2 to 3 years experience on LLM-based applications, including RAG systems in real-world use cases
Strong understanding of how GenAI agents for information retrieval work
Ability to design and apply evaluation metrics for LLM performance (accuracy, relevance, hallucination rate, latency)
Hands-on experience with RAG frameworks such as LangChain, LlamaIndex, or Haystack
Fluent in English (CEFR C1 or C2) is mandatory; proficiency in German, Dutch, French, or any additional European languages is a plus
🪜 If this looks like you, the recruitment
steps are:
A first call with one of our recruiters
An interview focused on the mission and your expertise with your future manager
A final interview with on of CPTO
Hopefully, an offer you can’t refuse
⛔ Turn back if …
You’ve used LLMs or GenAI tools in the past, but never looked under the hood
You expect fully predefined processes and frameworks instead of experimenting and iterating in ambiguous situations
You have never heard of LLM grounding issues and how to solve them.
You prefer working only with out-of-the-box solutions rather than designing and fine-tuning your own
Otherwise apply!
🫶 Our commitment to equal employment opportunities
EPI offers the same job opportunities to all, without distinction of gender, ethnicity, religion, sexual orientation, social status, disability or age. EPI promotes the development of an inclusive work environment that mirrors the diversity of the clients our product is serving.