Stand out and drive the next generation of wealth. Define the digital assets industry. Raise the bar for trust, transparency, and client success. Make your mark.
Nexo is a premier digital assets wealth platform designed to empower clients to grow, manage, and preserve their crypto holdings. Our mission is to lead the next generation of wealth creation by focusing on customer success and delivering tailored solutions that build enduring value, supported by 24/7 client care.
Since 2018, Nexo has provided unmatched opportunities to forward-thinking clients in over 150+ jurisdictions. With over $11+ billion in AUM and $371+ billion processed, we bring lasting value to millions worldwide. Our all-in-one platform combines advanced technology with a client-first approach, offering high-yield flexible and fixed-term savings, crypto-backed loans, sophisticated trading tools, and liquidity solutions, including the first crypto debit/credit card. Built on deep industry expertise, a sustainable business model, robust infrastructure, stringent security, and global licensing, Nexo champions innovation and long-lasting prosperity.
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.
