Requirements: A completed qualification in UX/UI Design, Graphic Design, Digital Media, Interaction Design, or a related creative field. South African citizen based in Johannesburg. Portfolio showcasing design thinking and creativity (academic or personal projects welcome). Familiarity with design tools such as Figma, Adobe XD, or similar. Responsibilities: Assist with user research, wireframing, prototyping, and polished visual designs. Work closely with senior designers on real-world client briefs. Support the development of intuitive, user-friendly digital products. Contribute to the design systems and ensure consistency across deliverables. Participate in team brainstorming, design reviews, and feedback sessions.

Requirements: A relevant Bachelor’s Degree (minimum 3-year qualification), preferably in Management Sciences or a related field. Up to 6 years of proven experience in a similar role or environment. Experience in the legal sector or professional services environment will be an advantage. Responsibilities: Responsible for serving as a business development liaison point for sector, practice group and business unit leaders, partners, andmanagers by working with them to develop and implement client and sector plans as well as local product campaigns. Drive campaigns that generate business leads, expand existing client matters and drive cross-selling opportunities across the firm. Work with stakeholders to formulate, develop and implement business development plans and campaigns that support theirbusiness objectives and the firm’s strategic goals. Manage the budget of business development plans and campaigns. Follow and monitor legal and sector developments and trends, and provide research support to the relevant stakeholders to betterAssist them in targeting prospective clients and identifying opportunities with existing clients.

Requirements A Matric certificate, with Accounting as a subject or included in a formal qualification, is advantageous Prior experience in Banking, Accounting, or Finance is an added advantage Responsibilities Responsible for capturing application demographics (e.g., company/owner information) onto Salesforce system Ensure performance standards are met within agreed turnaround times and service level agreements Check credit bureau reports for discrepancies and take appropriate action Verify that applications submitted reflect the correct record type by cross-checking with industry and bank statements Convert PDF bank statements Capture bank statement information onto Salesforce Capture gross turnovers and update Excel calculators and Salesforce Analyse bank statements for unpaid items, excesses, rental, franchise, VAT payments, and capture on Salesforce Manage own workflow of applications in the data capture stage and notify Team Leader/Manager of anomalies

Requirements: 4+ years of professional experience in software or machine learning engineering, or demonstrable equivalent impact. At least 1 year of hands-on experience building and operating production-ready Generative AI/LLM solutions in live products, including the implementation of guardrails, hallucination reduction techniques, and safety mitigations. 1+ year of experience in mentoring or technical leadership, including responsibilities such as code reviews, architecture sign-off, and sprint planning/guidance. Proven experience developing in Python, along with proficiency in at least one major Generative AI SDK (e.g. OpenAI, Anthropic, Gemini, or Hugging Face Transformers). Strong background in integrating and tuning vector databases (such as Pinecone, Weaviate, or FAISS) to support retrieval-augmented generation (RAG) pipelines. Comfortable working across web technology stacks (React/HTML/JavaScript), with experience in REST/gRPC APIs, Docker, and Git workflows Responsibilities:  Deliver high-impact GenAI features hands-on: prompt engineering, rapid prototypes, model integrations, and MLOps-lite pipelines. Coach 3-5 engineers through pair programming, goal-setting, and career growth. Run design and code reviews; uphold secure, well-documented, test-driven practices. Chair squad-level design sessions. Contribute to the AI Technical Committee reviewing new solution designs and reference architectures. Classify GenAI initiatives into low/medium/high risk (e.g., marketing copy vs. compliance automation). Shape mitigation plans covering model choice, data privacy, bias, latency, and hallucination. Define SLOs for latency, cost, and accuracy; instrument telemetry and alerts. Partner with Product Owners, Ops, and Risk to refine requirements and ship safely.

Requirements:  BSc/MSc in Computer Science, Engineering, Data Science, or related Proficiency in Python plus familiarity with at least one GenAI SDK (e.g. OpenAI, Anthropic, Gemini, HF Transformers) Working knowledge of web technologies (HTML/CSS, basic React or plain JavaScript) and RESTful APIs Git fluency and basic data wrangling with SQL or Pandas Curiosity, initiative, and evidence of shipped side-projects or coursework Responsibilities:  Craft, test, and iterate prompts for models such as GPT-4o, Claude 3, Gemini, and Llama 3 Record outcomes, identify failure modes (e.g., bias, hallucination, latency), and distill best-practice patterns for the internal wiki Build quick-to-market tools—chatbots, summarizers, data extractors—using Python or TypeScript with frameworks like LangChain or Databricks Spin up simple front-ends in React or vanilla JS to allow same-day user testing of new features Wrap models behind REST or gRPC endpoints; integrate with internal APIs, message queues, or RPA workflows Containerize with Docker, write secure code, and follow Git-based workflows for CI Track latency, cost, accuracy, and user feedback; fine-tune prompts or switch models to maintain high quality Automate basic telemetry and alerts to proactively surface issues Partner with Ops, Product, and Risk analysts to translate pain points into technical tasks Demo new features, lead brown-bag sessions, and write clear documentation accessible to non-engineers

Requirements: Experience in product management with a focus on AI-driven products. Practical experience in delivering AI/ML or Generative AI (GenAI) initiatives, with the ability to communicate effectively across both technical and business audiences. Skilled in articulating complex AI product concepts to executive stakeholders, aligning cross-functional teams, and translating technical ideas into clear, accessible language. Responsibilities Run discovery sessions, ride-alongs, and data reviews to surface use-cases that map directly to P&L goals Craft and execute change-management plans including communications, enablement, SOP updates, and bespoke learning paths to embed GenAI in daily workflows across departments Translate business pain points into user stories and a continuously prioritised backlog Define success metrics and guardrails; guide a four-developer team through agile delivery cycles Track solution performance post-launch, iterating for ever-greater impact Act as the AI translator between department leads, frontline teams, and technical staff Evangelise GenAI best practices, run demos, and coach power users to foster grassroots adoption