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Imperium(L) is recruiting an AI Engineer to join our growing team in Mauritius. Whether your background is mainly in AI and machine learning, or in software development with a passion for AI, we want someone who can design practical AI solutions and build them into real products. You will work mainly on our RegTech platform, used by regulated financial services firms, using AI to make existing processes more efficient and add more value to them. This includes areas such as data extraction, intelligent matching, process automation and AI-driven reporting. You will also have the opportunity to work on other platforms in our portfolio. Our stack includes Python, React, Node.js, AWS Serverless, Docker and MongoDB. What You’ll Need • 2–3 years of hands-on experience in AI, machine learning or software development, with a solid development foundation • Strong Python, including a web framework such as Flask, Django or FastAPI • Working knowledge of frontend development (React or similar) • Practical AI experience, such as building with LLM APIs, RAG or embeddings, or developing predictive and machine learning models • Solid understanding of REST APIs, Git and integration patterns • A degree in Computer Science, AI, Data Science or equivalent practical experience What You’ll Do • Design, build and deploy AI-powered features • Develop and integrate features across the stack, from APIs to user interfaces • Build AI-driven reporting, predictive analytics and forecasting that give clients and the business deeper insight • Evaluate AI models and tools for accuracy, cost and reliability, and choose the right fit • Build the data pipelines and integrations that AI features depend on • Work with business analysts to identify automation opportunities and turn them into working solutions • Make sure AI is used responsibly, with attention to data privacy, security and human review • Write clean, tested code and contribute to code reviews and CI/CD • Share knowledge of AI tools and practices with the wider team Nice to Have • AWS services such as Lambda or Bedrock, and Docker • Vector databases (e.g. pgvector, Pinecone or OpenSearch) • Agent or orchestration frameworks (e.g. LangChain, LlamaIndex) or MCP • Document AI or OCR for extracting data from statements and files • Predictive modelling or time-series forecasting, with tools such as pandas or scikit-learn • BI and reporting tools such as Power BI, Tableau • Automated testing (Pytest, Jest) • Experience in financial services or data-heavy systems Who You Are • Passionate about applied AI, with the development skills to deliver it • A practical problem-solver who focuses on what works in production • Curious, and keeps up with a fast-moving field • Comfortable taking ownership, and not afraid to ask for help • A clear communicator with technical and non-technical colleagues
Savanne