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 Africas 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.

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.

• Excellent stakeholder engagement and communication skills.

• Strong ownership accountability and delivery focus.

• Ability to work effectively in complex enterprise environments.

Interview Process

• Recruiter call

• Technical Interview

• Decision & Feedback

Who we are: