Engineer à Afrique du Sud

Job title : AI Engineer

Job Location : Gauteng, Johannesburg

Deadline : November 10, 2025

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• The ALMA (Asset Liability Management Analytics) team in Group Treasury is responsible for maintaining and enhancing the ALMA application, as well as providing support to Group Treasury on data modelling, data engineering, analytics, and quantitative analysis. The ALMA application sources transaction data, along with associated market, party, and reference data from across the FirstRand group. It produces analytics for funds transfer pricing, behavioral analysis, and regulatory and management reporting, as well as for other areas within Group Treasury. The AI Engineer will be responsible for developing, deploying, and maintaining data science models and AI agents within FirstRand Bank Group Treasury. This role is crucial for enhancing the treasury’s analytic capabilities, monitoring and analyzing analytic processes that compute metrics for asset and liability management (ALM), and using this data and other data assets to extract analysis.
• To contribute to the design, development, and deployment of machine learning models, LLMs, and AI systems, with growing responsibilities in agentic systems and conversational AI. To work independently to implement and optimize AI solutions in collaboration with senior engineers and cross-functional teams.
• To participate in the building and deployment of ML models, experimenting with LLMs and agents, and supporting AI integration into production environments.
• Support the development and fine‑tuning of AI / ML models, including LLMs and basic conversational agents.
• Contribute to the creation and maintenance of data pipelines and model evaluation workflows.
• Collaborate on the design and prototyping of agentic tools and LLM‑powered applications.
• Help debug and improve models with a focus on performance, accuracy, and reliability.
• Participate in prompt engineering and response optimization exercises.
• Assist with the integration of AI models into production systems under guidance from senior engineers.
• Work closely with product and engineering teams to understand AI requirements and ensure delivery alignment.
• Keep up with current research and tools in the AI / LLM space and contribute ideas to improve team capabilities.
• Control expenditure and identify process improvements to contain and reduce costs.
• Deliver customer experience excellence in own service delivery aligned to Organisational values and service standards.
• Build working relationships across teams and functional lines to enhance work delivery, collaboration and innovation.
• Participate in planned activities that are appropriate for own development.
• Provide guidance, share knowledge and expertise and guide employees to find their own solutions.
• Manages risks in own area of responsibility.
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