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PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

Junior AI Developer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeMilan, Metropolitan City of Milan, ItalyIn-person

About the Job

Requirements

  • Have a degree, or be close to completing one, in a STEM discipline such as Computer Engineering, Computer Science, Data Engineering, Mathematics, or Physics, or an equivalent pathway.
  • Have 0–2 years of experience.
  • Have good programming skills in at least one of Python (preferred) or Node.js.
  • Be familiar with software engineering practices, including structuring projects, writing readable code, using Git, basic testing, and documentation.
  • Be interested in AI and willing to learn to work with large language models and generative systems on real use cases.
  • Have a good command of written and spoken English.

Responsibilities

  • Build agentic AI applications, including autonomous agents for task execution, decision-making, and multi-step workflows, with orchestration, tool use, memory, retrieval, and guardrails.
  • Work with coding agents such as Continue, Claude Code, and Codex; integrate open-source assistants and large-language-model-powered solutions into the enterprise ecosystem, including Model Context Protocol servers and automations for development, testing, and documentation.
  • Develop products using agentic frameworks such as A2A and A2UI, and new interaction paradigms combining agents, dynamic user interfaces, and real-time collaboration.
  • Contribute to PwC’s proprietary platform, including AI scraping and data-enrichment pipelines for open-source intelligence; image generation using fine-tuned open-source and state-of-the-art models; audio and music generation with dedicated models; and video-generation optimization, quantization, and techniques such as LoRA for efficient deployment.
  • Design and optimize advanced retrieval-augmented generation, including multi-document analysis, retrieval strategies, embeddings and reranking, dynamic thresholding, and prompt design.
  • Implement evaluation and observability through metrics, benchmarks, workflows using large language model as a judge (such as DeepEval), monitoring, and continuous improvement.
  • Contribute to deliverable quality, work with project managers and stakeholders, manage budget and quality constraints, and bring reliable, scalable solutions into production.
  • Collaborate with cross-functional design, product, and engineering teams to build experiences that have an impact on people and processes.
  • Develop components in Python and integrate application programming interfaces.
  • Improve work iteratively through feedback, testing, and quality measurement.
  • Document work clearly and hand it over.
  • Take initial steps in cloud and deployment with support from the team.

Desired Qualifications

  • Personal projects, GitHub projects, or a portfolio, including projects unrelated to AI.
  • Basic knowledge of REST APIs, SQL or NoSQL databases, Docker, or cloud technologies, including introductory-level familiarity.
  • Courses, a thesis, or side projects demonstrating interest in AI or generative AI, including experiments, hackathons, or reading groups.

About the Company

PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

PwC provides assurance (audit), tax, legal services, consulting and deals advisory to organisations worldwide. It uses multidisciplinary teams across accounting, advisory, technology and industry, delivered through a global network of locally established firms that collaborate with technology partners to offer AI, cloud, managed services and digital trust. PwC differentiates itself with an integrated, global-local service model and technology-enabled offerings that address complex client needs across risk, transformation, reporting and sustainability. Its goal is to help clients improve governance, efficiency and value by supporting reporting accuracy, business transformation, risk management and sustainable practices.

Company size
10,001+
Company stage
Early VC
Total funding
$3.3M
Headquarters
London, United Kingdom
Founded
1989

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