Who Are We
At Coinmerce, a Dutch-founded European cryptocurrency platform, were on a mission to make cryptocurrency simple, secure, and accessible for everyone. Transparency is our core value, and our open-door policy supports collaboration, innovation, and team spirit in our Schiphol-Rijk office. With over 90 talented colleagues, were shaping the future of crypto togetherare you ready to join us?
What We Offer
- Innovative Work: Be part of a team advancing new technology within the crypto industry;
- Modern Workspace: Enjoy our new office located at Schiphol-Rijk;
- Daily Perks: Free lunch, fresh fruit and weekly Friday drinks at our company bar;
- Team Events: Engage in monthly team events and bonding activities;
- Commuting & Pension: Receive commuting allowance and a solid pension plan;
- Benefits & Wellness: 25 vacation days, monthly chair massages, and access to our company gym and Alleo benefit program;
- Extra Perks: A 250 home-office setup budget after completing your probation period.
- Yearly L&D Budget: Of EUR 2000
About The Role
To expand our quantitative and engineering capabilities, we are looking for an Artificial Intelligence Engineer with a strong foundation in machine learning and data science. As an AI Engineer at Coinmerce, you will play a key role in designing, developing, and deploying AI-driven solutions to improve and automate decision-making processes across our systems. You will work closely with quant researchers, traders, and software engineers to push the boundaries of what is possible.
Responsibilities
- Design, fine-tune, and hyper-optimise LLMs adapt state-of-the-art models (e.g., GPT-4o, Llama 3, Mistral) with LoRA / QLoRA, PEFT, DeepSpeed, and targeted hyper-parameter tuning.
- Build production-grade RAG pipelines integrate vector stores (FAISS, Pinecone, Qdrant) with streaming market data to fuel real-time signal generation.
- Deploy low-latency inference on MCP manage and autoscale GPU endpoints with vLLM.
- Lead frontier research spikes benchmark and evaluate emerging stacks (LangChain Agents, LlamaIndex, vLLM).
- Collaborate across departments to discover and prioritise business bottlenecks where AI and automation can deliver measurable impact.
- Drive solutions from prototype to production while ensuring robustness, reproducibility, and maintainability.
What you bring:
- 0-2 years building and shipping ML / NLP systems in trading, fintech or other data-driven domains.
- Deep grounding in maths, stats and optimisation; fluent in Python + PyTorch / Hugging Face.
- Hands-on with vector DBs & RAG frameworks (LangChain, LlamaIndex) and modern prompt-engineering tactics.
- Proven track record fine-tuning open-source LLMs (Llama, Mixtral, Mistral). Rigorous software-engineering habits: clean code, testing culture, secure SDLC.
