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Internship - Governed AI: Power BI dashboards from a prompt or a template

  • Intern
  • Full time
  • Tunis, Tunis, Tunisia
  • Client Delivery & Support

Founded in 2004, Axe Finance provides end-to-end powerful loan origination software helping financial institutions to more effectively manage the credit life cycle, optimize firm-wide credit and risk processes, and enable better-informed credit origination and risk management decisions.

With more than 30,000 users in 20 countries, Axe Finance is focused on credit process automation for all segments (retail, corporate, microfinance, institutional, Islamic, etc.) delivering tailor-made solutions with real measurable value.

Joining Axe Finance is joining a fast-growing fintech company. We are currently seeking to hire (a) PFE intern(s)

Key Responsibilities:

  • Why governed AI? In a bank, a plausible wrong figure or a leaked row is worse than no answer. The AI only chooses from the project's approved vocabulary; code writes the SQL, the model and the visuals, and every step is checked and measured.​

    • Governed model – generate a Power BI semantic model from a project's approved knowledge: business names, declared joins, lists shown by name, calculated fields as measures.​

    • Entitlement – enforce the platform's row-level security (Chinese wall) in the model, outside the AI's reach.​

    • Prompt → dashboard – the AI picks measures, dimensions, filters and visuals from a closed list; code writes the Power BI pages and visuals.​

    • Template → dashboard – read an existing Power BI file (or a picture of a dashboard) and rebuild it on the governed model.​

    • Guardrails – invented labels dropped and counted, partial requests refused, gaps named in words, the same request always gives the same dashboard.​

    • Product page – a React page (prompt, upload, preview, download) built to an approved mockup.​

    • Measurement – prompt and template evaluation sets, zero entitlement leaks, cost per dashboard; governed versus free AI generation compared.​

    • Method – Scrum with two-week sprints, code reviews and CI; end-of-study report and defence.​

Candidate Profile Requirements

  • Final-year engineering student in software engineering, data or AI​

  • C# (or another typed language) and SQL​

  • Interest in Business Intelligence (Power BI) and applied AI / LLMs​

  • React / TypeScript is a plus​

  • Rigour: tests, measurement, clean design​

  • Start: February 2027, or according to the university's calendar​

What We Offer:

  • Fast-learning environment with opportunities for growth and evolution

  • Clear ownership from day one with space to test, fail, and improve fast

  • A culture that values sharp thinking, innovation, and autonomy

  • Regular collaborations, tie-ups, and activities that expand perspective and skills

  • Flexible work setup focused on results

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