AI Engineer

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; 12 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 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 Engineer
This role centres on designing and deploying intelligent systems with a strong emphasis on MCP server development AI integrations and extensible agent-based architectures. Youll play a key role in building scalable production-grade AI infrastructure while contributing to open research and new AI use cases.

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 tuning
• Build 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 tools
• Solid 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