verall Purpose of the Role
Join a high-performing four-person Generative AI pod that designs and ships lightweight micro-apps, intelligent copilots, and decision-support tools for two high-impact departments. Work on real-world projects spanning both divisions local and international, taking code from prototype to production with direct business impact.
You’ll experiment with cutting-edge LLMs, build scalable tools that save time and boost decision quality, and showcase what’s possible when AI is applied creatively and responsibly in a regulated environment.
Key Responsibilities
Prompt Engineering & Experiments
- Craft and iterate on prompts for LLMs like GPT-4o, Claude 3, Gemini, and Llama 3.
- Identify and document failure modes such as hallucinations, bias, or latency.
- Create internal best-practice guidelines and contribute to the team knowledge base.
Rapid Prototyping
- Build quick to market tools like summarizers, chatbots, and data extractors using Python or TypeScript.
- Use LangChain, Databricks, or other frameworks for orchestration.
- Spin up simple UIs with React or vanilla JS for same-day feedback from end-users.
Integration & MLOps-Lite
- Wrap models with REST/gRPC endpoints and connect to internal APIs, message queues, or RPA flows.
- Apply Git-based CI workflows and containerize your solutions using Docker.
- Follow secure coding standards and build for maintainability and scale.
Monitoring & Iteration
- Track solution performance (latency, cost, accuracy, feedback) and adjust for quality.
- Automate telemetry, logging, and alerts to surface issues before they affect users.
Collaboration & Knowledge-Sharing
- Work closely with Product, Ops, and Risk to turn business pain points into technical solutions.
- Demo new features, lead internal sessions, and write concise, accessible documentation for non-engineers.
Experience & Skills Required
Must-Haves
- BSc/MSc in Computer Science, Engineering, Data Science, or related field.
- Strong Python skills plus familiarity with at least one GenAI SDK (OpenAI, Anthropic, Gemini, Hugging Face Transformers, etc.).
- Working knowledge of HTML/CSS and basic React or JavaScript.
- Experience with REST APIs, Git workflows, and data handling (SQL or Pandas).
- Evidence of initiative through shipped side-projects, coursework, or personal experimentation.
- Excellent verbal and written communication in English.
Nice-to-Haves
- Experience with Hugging Face, PyTorch/TensorFlow, or vector databases (e.g., Pinecone, FAISS, Chroma).
- Exposure to cloud platforms (AWS, GCP, Azure), CI/CD pipelines, or basic MLOps tools.
- Participation in internships, hackathons, or academic/industry projects especially in fintech, banking, or other regulated sectors
Job Type: Full-time
Pay: Up to R25 000,00 per month
Work Location: In person
