AI Developer – SA

Responsibilities

• Design and deploy platform features, data pipelines, automations, and internal tools that improve Allocator's data aggregation, analytics, and reporting workflows
• Use AI coding assistants as core daily tools
• Build agentic workflows and AI-driven features into the platform and internal tooling, applying LLMs and orchestration frameworks where they deliver leverage
• Analyse workflows across data collection, fund reporting, and client delivery, identifying improvement opportunities and implementing practical solutions
• Move from concept to prototype to production efficiently; launch MVPs, track performance, and iterate based on client and internal feedback
• Collaborate with Product, Data, and Client Success teams to understand requirements, demonstrate solutions, and support adoption
• Establish performance baselines, implement changes, and document measured impact for every feature shipped
• Lead discovery sessions with Product and Data teams, documenting success criteria, technical specifications, and trade-offs
• Develop release notes, setup guides, and onboarding materials for non-technical colleagues and clients
• Work directly with internal stakeholders and clients, including fund-of-funds, family offices, pension funds, endowments, and sovereign wealth funds, to identify friction points and ship measurable solutions

• Bachelor's degree in Computer Science, Applied Mathematics, Engineering, Statistics, Physics, or a related quantitative discipline
• Cum Laude or above from a South African university, or equivalent international standing (e.g. GPA 3.5+/4.0 or 70%+ aggregate)
• Strong written and verbal communication, capable of producing technical specifications, presenting demonstrations, and translating between technical and business contexts
• Analytical mindset with the ability to decompose complex, ambiguous challenges into actionable steps
• Programming foundation in Python, SQL, or JavaScript (academic projects, internships, or capstone work)
• Daily working fluency with AI development tools (ChatGPT, Claude, Git Hub Copilot, Cursor), used as core tools rather than occasional aids
• Bias for action; prefers experimentation and data-driven iteration over extended planning
• Hands‑on experience building with LLMs, prompt engineering, or AI agent frameworks in a production environment
• Background in data analysis, process optimisation, or computational modelling
• Internship or work experience in fintech, asset management, consulting, or technology
• Familiarity with or interest in alternative investments, fund data, or institutional finance

Demonstrates expertise in designing and deploying data‑driven solutions, utilizing AI development tools and programming languages such as Python, SQL, and JavaScript. Capable of collaborating with cross‑functional teams to enhance data aggregation, analytics, and reporting workflows in the fintech and asset management sectors.

• Python Programming
• SQL Proficiency
• AI Development Tools
• Data Analysis
• Experience in Fintech

• Data Pipeline Development
• Workflow Automation
• LLM Implementation
• Prompt Engineering
• Technical Specification Writing

• Strong Communication
• Analytical Mindset
• Collaboration
• Bias for Action

• Alternative Investments
• Fund Data
• Institutional Finance
• Asset Management
• Pension Funds

• ChatGPT
• Claude
• Git Hub Copilot
• Cursor