AI ENGINEER – AGENTS & AI ASSETS
Pwc
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151 open agents roles across 73 companies are on ApplySarthi right now, most of them in Bengaluru (8), Pune (3), Delhi NCR (3).
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What agents roles keep asking for: LLMs (65%), Python (52%), Observability (48%), AWS (26%), RAG (25%), Kubernetes (21%), Machine learning (21%), TypeScript (21%) — counted across their open postings here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for agents roles keep coming back to LLMs, Python, Observability, AWS. Practise those questions before you sit with Pwc.
Questions you are likely to be asked
- Why do you want to join Pwc?
- What is your experience with Python? Tell me one thing you learned the hard way.
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
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Practise the AI ENGINEER – AGENTS & AI ASSETS at Pwc interview free →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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Listed on workday · posted 2026-11-04. ApplySarthi collects openings and links to application pages; the role is advertised by Pwc, not by us.