‹ Back
Job details
AI EngineerDesign and build cutting-edge MCP servers and AI integrations in a high-impact, research-driven environmentRemote (Cape Town-based candidates only; 1–2 days/month in-office), R80 000 – R100 000/monthAbout Our ClientOur 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, AI agent 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.
The Role: AI EngineerThis role centres on designing and deploying intelligent systems with a strong emphasis on MCP server development, AI integrations, and extensible agent-based architectures.
You'll play a key role in building scalable, production-grade AI infrastructure while contributing to open research and new AI use cases. Key Responsibilities3+ years of experience in machine learning, AI, or related fieldsDesign and build MCP servers and secure context management systemsCreate custom MCP integrations for databases, APIs, and toolsTrain, optimise, and deploy machine learning and LLM-based modelsDevelop robust ML pipelines and conduct performance tuningBuild and integrate AI features, agents, and RAG-based systemsDevelop APIs and services for model inference and tool useStay current with MCP specifications, AI/ML trends, and toolsParticipate in architecture decisions, technical discussions, and documentationAbout YouBSc, BSc Honours, or MSc in Computer Science, Machine Learning, AI, Mathematics, or related field (or equivalent experience)Strong Python and TypeScript/JavaScript programming skillsExperience with ML frameworks such as PyTorch, TensorFlow, or JAXFamiliarity with Hugging Face, LangChain, LlamaIndex, and similar toolsSolid knowledge of ML fundamentals and model evaluation techniquesExperience building APIs and working with cloud platforms (AWS, Azure, GCP)Strong understanding of client-server architectures and CI/CD practicesExcellent communication and problem-solving skillsNice to HavePhD or published AI researchExperience with MCP server development and open-source contributionsFamiliarity with LLMs, transformer architectures, RLHF, and vector databasesExperience with agent frameworks (AutoGPT, LangGraph, CrewAI, etc. )Background in AI safety, ethical AI, NLP, computer vision, or edge deployment.
They are at the forefront of developing Model Context Protocol (MCP) infrastructure, AI agent 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.
The Role: AI EngineerThis role centres on designing and deploying intelligent systems with a strong emphasis on MCP server development, AI integrations, and extensible agent-based architectures.
You'll play a key role in building scalable, production-grade AI infrastructure while contributing to open research and new AI use cases. Key Responsibilities3+ years of experience in machine learning, AI, or related fieldsDesign and build MCP servers and secure context management systemsCreate custom MCP integrations for databases, APIs, and toolsTrain, optimise, and deploy machine learning and LLM-based modelsDevelop robust ML pipelines and conduct performance tuningBuild and integrate AI features, agents, and RAG-based systemsDevelop APIs and services for model inference and tool useStay current with MCP specifications, AI/ML trends, and toolsParticipate in architecture decisions, technical discussions, and documentationAbout YouBSc, BSc Honours, or MSc in Computer Science, Machine Learning, AI, Mathematics, or related field (or equivalent experience)Strong Python and TypeScript/JavaScript programming skillsExperience with ML frameworks such as PyTorch, TensorFlow, or JAXFamiliarity with Hugging Face, LangChain, LlamaIndex, and similar toolsSolid knowledge of ML fundamentals and model evaluation techniquesExperience building APIs and working with cloud platforms (AWS, Azure, GCP)Strong understanding of client-server architectures and CI/CD practicesExcellent communication and problem-solving skillsNice to HavePhD or published AI researchExperience with MCP server development and open-source contributionsFamiliarity with LLMs, transformer architectures, RLHF, and vector databasesExperience with agent frameworks (AutoGPT, LangGraph, CrewAI, etc. )Background in AI safety, ethical AI, NLP, computer vision, or edge deployment.
Discover the company
Explore other offers from this company or learn more about The Legends Agency.
The company
T
The Legends Agency South Africa
