Junior Artificial Intelligence Developer - Milano Dig
Pubblicato il 09-08-2026 - Pwc South Africa in Milano
Overview PwC invites you to join the Digital Innovation – AI Center of Excellence, where you will work on AI-driven products and platforms in a multi‑cloud environment (primarily Google Cloud, also Azure). You’ll collaborate with senior peers, build prototypes, refine models, and deliver production‑ready solutions across various AI domains.
Responsibilities Design, implement, and integrate AI components, pipelines, and services using Python and cloud infrastructure. Build agentic AI applications (autonomous agents for task execution, decision‑making, and multi‑step workflows), leveraging coding agents such as Claude Code, Codex, or open‑source alternatives. Develop products based on agentic frameworks (A2A, A2UI) and create interactive experiences that blend agents, dynamic user interfaces, and real‑time collaboration.
Contribute to PwC’s proprietary platform covering data enrichment pipelines, open‑source intelligence scraping, image, audio, and video generation with optimised models (e.g., LoRA). Design and optimise advanced Retrieval‑Augmented Generation (RAG) solutions, including multi‑document analysis, retrieval strategies, embedding/reranking, dynamic thresholding, and prompt design.
Implement evaluation and observability workflows: metrics, benchmarks, and LLM‑as‑a‑Judge (e.g., DeepEval), monitoring, and continuous improvement. Ensure delivery quality by collaborating with product managers and stakeholders, managing budget and quality constraints, and driving scalable production deployments. Work cross‑functionally with design, product, and engineering teams to create real‑world impact for people and processes.
Assist in problem decomposition, task estimation, and prioritisation within a Python‑centric development cycle.
Qualifications ~0–2 years of experience or fresh graduate in STEM or an equivalent field, preferably with an AI‑focused curriculum. ~ Strong proficiency with Python and hands‑on coding of prototypes. ~ Basic knowledge of Machine Learning;
experience with NLP, computer vision, or generative AI projects (personal or academic). ~ Interest in scaling AI from proof‑of‑concept to production, focusing on quality, security, privacy, and reliability. ~ Excellent written and spoken English. ~ Good team player: curiosity, listening, responsibility, and synthesis skills.