Driving the next generation of wealth.
Digital assets are redefining how wealth is created, used, and transferred. Since 2018 at Nexo, we have been building the future model of financial wealth - dynamic, accessible, and designed for a new generation of forward-thinking investors.
But technology alone doesn’t drive progress. People do.
We are a team of builders, strategists, analysts, creatives, and operators united by a shared mindset: advancement. We move fast, think long term, and take ownership. We challenge ideas, not people. We value clarity over noise and impact over optics.
What makes Nexo different?
We shape industry trends. We rethink how wealth works and build solutions that reflect that belief.
That requires a certain kind of person.
You will thrive here when you think independently and act decisively, take ownership without waiting for permission, and care deeply about quality, long-term value, and disciplined execution. The people who succeed at Nexo bring analytical depth, sound judgment, and resilience - but also curiosity and the drive to keep improving.
This is an environment for people who want to lead, create, and elevate what already exists. If building what’s next excites you, you’ll feel at home at Nexo.
Official website: nexo.com
Your role:
- Study and transform AI research prototypes into production-ready solutions.
- Design and develop AI-driven systems and applications.
- Research and implement appropriate AI models, techniques, and tools.
- Build and deploy AI applications according to business and technical requirements.
- Develop appropriate datasets, data pipelines, and representation methods for AI tasks.
- Perform statistical analysis, benchmarking, and model optimization.
- Fine-tune and update models as needed to improve performance.
- Integrate and extend existing AI libraries and frameworks.
- Engineer effective prompts for LLM-based applications.
- Stay updated with the latest advancements in AI, including LLMs, generative AI, and neural networks.
What makes you stand out:
- Proven experience as an AI Engineer or in a similar role focused on GenAI.
- Strong understanding of machine learning, deep learning, and natural language processing concepts.
- Solid foundation in data structures, algorithms, and software engineering principles.
- Proficiency in Python and experience with AI/ML libraries and tools (e.g., PyTorch, Hugging Face, LlamaIndex, llama.cpp, Ollama, etc.).
- Hands-on experience using LLMs via APIs (e.g., OpenAI, Anthropic, Gemini, etc.).
- Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Experience building, deploying, and scaling AI models in production environments.
- Excellent communication and collaboration skills.
- Creative problem-solving mindset and analytical thinking.
- BSc in Computer Science, Artificial Intelligence, or a related field; Master’s degree is a plus.
- Experience working with large language models (LLMs), transformers, and prompt engineering techniques.
- Experience with Retrieval-Augmented Generation (RAG) systems.
Nice to have:
- Experience building & scaling Agentic Systems.
- Familiarity with MCP Servers.
- Experience designing and consuming APIs for AI-powered applications.
- Familiarity with MLOps tools and workflows (e.g., MLflow, Kubeflow, Airflow, SageMaker).
- Knowledge of LLMOps practices and tools for managing the lifecycle of LLM-based applications.
- Experience with edge AI, on-device inference, or model quantization.
- Background in reinforcement learning, computer vision, or generative models (e.g., GANs, diffusion models).
- Contributions to open-source AI projects or publications in AI/ML research.
Nexo benefits:
- Competitive and rewarding remuneration package.
- Annual performance-based bonuses.
- Comprehensive Learning Hub for continuous growth.
- Hybrid work model: primarily office-based with scheduled home office flexibility.
- A dynamic and inspiring environment with cutting-edge projects.
- Career development opportunities in a global leader driving the next generation of wealth.
- Customizable personal benefits package.
- Wellness benefits include additional health insurance, all-access sports cards, team-wide sports activities, standing desks, and blue light glasses.
- Free parking with a designated space, free electric bikes, and public transportation cards.
- Fresh fruits, snacks, and a well-stocked office kitchen.
- Regular department team buildings and company-wide team buildings.