AI Engineer at FNB South Africa

Job Description

Hello Future AI Engineer

• As part of our Core Banking Team, you will be surrounded by unique talents, diverse minds, and an adaptable environment that lives up to the promise of staying curious. Now’s the time to imagine your potential in a team where experts come together and ignite effective change

Are you someone who can:

• Assist in training, testing, and fine-tuning ML and LLM models as part of larger projects
• Help collect, clean, and preprocess datasets for use in AI pipelines
• Work on small components of AI systems such as prompt crafting, inference scripts, or evaluation tasks
• Perform exploratory data analysis and create visualizations to support modeling efforts
• Collaborate with senior engineers to understand system requirements and deployment workflows
• Write clear, well-documented code and participate in code reviews
• Conduct basic research into AI tools and libraries and summarize findings for the team
• Participate in team meetings and contribute to a learning-focused, inclusive development culture

​You will be an ideal candidate if you:

• Have a Bachelor of Science degree in a relevant field
• Have 1 to 2 years of experience in AI
• Are proficient in Python and familiar with frameworks like TensorFlow or PyTorch

You will have access to:

• Opportunities to network and collaborate
• Challenging work that pushes boundaries
• A culture of innovation and continuous learning

We can be a match if you are:

• Curious & courageous – driven by a desire to learn and explore
• Obsessed with mastery – always striving to improve and excel
• Passionate about ethical AI and responsible innovation

Key Responsibilities:

• Design, develop, and maintain full stack applications that integrate with AI agents built in Copilot Studio.
• Build and optimize conversational flows, triggers, and actions using Copilot Studio and Power Automate.
• Integrate AI agents with external APIs, databases, and enterprise systems.
• Collaborate with cross-functional teams to deliver intelligent, user-centric solutions.
• Stay current with AI trends and rapidly evolving platforms, continuously learning and applying new tools.

Required Skills & Experience:

• Proficiency in Python and basic understanding of key libraries (e.g., NumPy, Pandas, scikit-learn)
• Familiarity with foundational machine learning concepts such as classification, regression, and clustering
• Basic understanding of deep learning and neural networks, especially transformer models
• Exposure to machine learning frameworks such as PyTorch or TensorFlow (projects or coursework acceptable)
• Interest in LLMs, conversational AI, or agentic systems (some hands-on experience preferred)
• Familiarity with version control tools (e.g., Git) and basic software development practices
• Willingness to learn MLOps tools (e.g., MLflow, HuggingFace, LangChain)
• Some experience of cloud services (e.g., AWS, GCP, or Azure) and containerization tools (e.g., Docker, Kubernetes)
• Willingness to learn LLM/AgentOps or ML pipeline tools
• Awareness of ethical considerations in AI development
• Strong curiosity, communication skills, and desire to grow within a collaborative AI team

Nice to Have:

• Experience with Google AgentSpace or similar conversational AI platforms.
• Experience building and managing MCP servers.
• Familiarity with n8n or other workflow automation tools.
• Exposure to Microsoft 365, Teams, or Dynamics 365 integrations.
• Background in AI/ML, NLP, or chatbot development.

What We’re Looking For:

• A fast learner who’s excited about the evolving AI landscape.
• Someone who’s proactive, collaborative, and solution-oriented.
• A developer who’s not afraid to experiment with new platforms and technologies.

End Date: September 5, 2025