AI ENGINEER – AGENTS & AI ASSETS
Location
In office (Tunis)
Visa
Sponsors visas in United States, United Kingdom, Ireland; no register of this country names it
Employment
Full-Time
Removed from the employer's board on Nov 7, 2026. First seen by Alion on Nov 4, 2026. PwC scores C on the Alion truth index.
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Headquartered in London, United Kingdom, PwC (PricewaterhouseCoopers) is a multinational professional services network and one of the "Big Four" accounting firms. The network provides a broad suite of business solutions, including financial auditing and assurance, tax advisory and compliance, corporate strategy, risk management, and digital transformation consulting. Operating across more than 150 countries, it delivers data analytics, deal advisory, and regulatory compliance services to global corporations, financial institutions, public sector organizations, and mid-market enterprises worldwide.
Job Description & Summary
Contribuer au développement, à l’industrialisation et à la maintenance d’agents IA ainsi que d’assets réutilisables permettant d’accélérer la mise en oeuvre des solutions IA. Participer à la veille technologique de l’équipe afin d’identifier les innovations pertinentes et contribuer à l’amélioration continue des standards techniques.Responsabilités clés:
- Concevoir, développer et maintenir des agents IA
- Participer à des architectures agentiques et workflows IA
- Développer des assets réutilisables : prompts, templates, connecteurs, frameworks • Contribuer à la documentation et à la capitalisation
- Réaliser une veille technologique active sur les modèles, frameworks et plateformes IA • Produire des PoC, démonstrateurs et accélérateurs techniques
- Collaborer avec AI Engineers, Tech Leads, Architectes et équipes métiers
Compétences attendues:
- Python, JavaScript ou TypeScript
- APIs et intégrations de services
- Concepts RAG, agents IA et gestion de connaissances
- Bonnes pratiques de développement logiciel
- Esprit d’analyse, curiosité technologique et capacité de vulgarisation
Livrables typiques:
Agents IA, assistants conversationnels, composants réutilisables, frameworks, bibliothèques de prompts, PoC, notes de veille, documentation technique.
Environnement technologique:
Microsoft Copilot, Copilot Studio, Python, Git, Azure DevOps, Power Platform, bases vectorielles, frameworks d’agents IA.
Positionnement RH:
Rôle de contributeur technique de l’IA Factory, évoluant sous la supervision d’un AI Manager, Tech Lead ou Architecte.
- Formation : Diplôme d’ingénieur
- Expérience professionnelle : 0 à 3 ans
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