Senior AI Engineer

DVT is a global custom software development and data engineering company. With our remote and hybrid options, our vision is to be South Africa's favourite custom software solutions & services company, with a global footprint. You will have the opportunity to work alongside some of the most established developers in the country with the latest technologies. DVT is committed to continuously training our staff and we are very proud of our culture of learning, from internal speaking and training to sponsoring a variety of technical events from DevConf to GDG.

DVT, we are looking for a Senior AI Engineer to design, build, and deploy enterprise AI solutions that drive intelligent automation, predictive decision-making, and operational efficiency. You will work across machine learning, generative AI, agentic AI, and large-scale data platforms to deliver production-ready AI capabilities within a highly regulated enterprise environment.

Requirements

Key Responsibilities:; Design and develop scalable AI, machine learning, and Generative AI solutions.; Build AI-powered applications, APIs, and intelligent automation workflows.; Develop and maintain end-to-end AI pipelines including data preparation, model training, deployment, monitoring, and optimisation.; Implement Retrieval Augmented Generation (RAG), AI agents, and LLM-driven solutions.; Create intelligent document processing and data extraction capabilities.; Develop predictive models for forecasting, anomaly detection, classification, and operational decision support.; Collaborate with engineering, data, architecture, and business teams to embed AI into enterprise platforms and processes.; Ensure solutions meet security, governance, and compliance standards.; Required Qualifications & Experience:; Degree in Computer Science, Engineering, Data Science, Mathematics, Information Systems, or a related field.; 5+ years of experience delivering AI, Machine Learning, or Advanced Analytics solutions.; Strong Python development skills.; Experience with AI/ML frameworks such as PyTorch, scikit-learn, Pandas, Spark, MLflow, LangChain, or LlamaIndex.; Experience building LLM applications, RAG solutions, or AI agent frameworks.; Knowledge of MLOps, CI/CD, model monitoring, and production AI operations.; Experience with cloud platforms such as AWS or Azure.; Understanding of large-scale data platforms, data governance, and API development.; Advantageous Experience:; Banking, financial services, payments, fraud, AML, or reconciliation experience.; Experience with vector databases, semantic search, and enterprise knowledge management.; Exposure to intelligent workflow automation and low-code platforms.; Key Competencies:; Strong problem-solving and solution design skills.; Ability to balance innovation with governance and operational requirements.