AI Engineer, Cape Town

Overview

AI Engineer Design and build cutting-edge MCP servers and AI integrations in a high-impact, research-driven environment Remote (Cape Town-based candidates only; 1–2 days/month in-office), R80 000 – R100 000/month About Our Client Our client is an innovative technology company focused on building intelligent, context-aware systems powered by the latest in AI and ML. They are at the forefront of developing Model Context Protocol (MCP) infrastructure, AIagent tools, and scalable machine learning solutions. With a commitment to research, open-source contributions, and practical AI applications, they offer a collaborative environment for engineers to shape the future of AI-enabled products.Key Responsibilities

3+ years of experience in machine learning, AI, or related fields Design and build MCP servers and secure context management systems Create custom MCP integrations for databases, APIs, and tools Train, optimise, and deploy machine learning and LLM-based models Develop robust ML pipelines and conduct performance tuningBuild and integrate AI features, agents, and RAG-based systems Develop APIs and services for model inference and tool use Stay current with MCP specifications, AI/ML trends, and tools Participate in architecture decisions, technical discussions, and documentation About You

BSc, BSc Honours, or MSc in Computer Science, Machine Learning, AI, Mathematics, or related field (or equivalent experience) Strong Python and TypeScript/JavaScript programming skills Experience with ML frameworks such as PyTorch, TensorFlow, or JAX Familiarity with Hugging Face, LangChain, LlamaIndex, and similar toolsSolid knowledge of ML fundamentals and model evaluation techniques Experience building APIs and working with cloud platforms (AWS, Azure, GCP) Strong understanding of client-server architectures and CI/CD practices Excellent communication and problem-solving skills Nice to Have

PhD or published AI research Experience with MCP server development and open-source contributions Familiarity with LLMs, transformer architectures, RLHF, and vector databases Experience with agent frameworks (AutoGPT, LangGraph, CrewAI, etc.) Background in AI safety, ethical AI, NLP, computer vision, or edge deployment

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