pstrongRole Description /strong /ppbr/ppKick-start your engineering career at Accenture as an Early Talent AI Native Engineer. This is an entry-level role designed for recent graduates and early-career engineers with strong software engineering foundations, high learning agility, and demonstrated AI curiosity. You will be hired with a clear hire-to-train model and developed into a client-facing, full-stack, AI-native engineer embedded directly in delivery teams. /ppbr/ppAs an Early Talent AI Native Engineer, you will work across the full software development lifecycle building and evolving custom applications, platforms, and APIs while learning to leverage cloud, DevOps, and AI tools to accelerate delivery. You will develop your ability to translate business needs into scalable, production-ready solutions alongside experienced engineers and architects. /ppbr/ppWe offer what no single product company can: breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with structured AI certification pathways, vendor learning access inside Anthropic, OpenAI, Microsoft, and Google, and a clear development track toward AI Native and Forward Deployed Engineering as you grow. /ppbr/ppstrongKey Responsibilities /strong /pulliCollaborate with engineers, architects, and product teams to design, build, test, and deploy custom applications and services /liliDevelop API-driven and platform-based solutions across front-end and back-end using your primary language (Python, Java, or TypeScript) /liliWork in Agile delivery models (Scrum, Lean, XP)



— contributing reliably to sprint cycles and communicating progress clearly /liliUse AI coding assistants daily as a standard part of delivery — actively, frequently, and with demonstrable impact on your productivity and output quality /liliApply AI across the software delivery lifecycle: AI-generated tests, AI-assisted debugging, AI-accelerated code review, and prompt engineering for development tasks /liliValidate AI-generated outputs — check for errors, limitations, and hallucinations; develop sound judgment about when AI output is reliable and when human verification is required /liliContribute to proofs of concept, technical documentation, and solution development alongside senior engineers /liliEngage in client-facing environments and learn to communicate technical concepts clearly to non-technical stakeholders /liliDevelop your understanding of how agentic systems work — how agents are orchestrated, how LLMs are called, and how software connects to AI pipelines — through on-the-job exposure and active self-development /li /ulpbr/ppemCompensation at Accenture varies depending on a wide array of factors including but not limited to role, level, seniority, responsibility, skillset, and level of experience. For this position, the job level is under the C3 National Collective Bargaining Agreement. The gross annual salary range is between 24,000 and 34,600 EUR.



/em /pp#LI-EU /pp#LI-MP /ppbr/pp#Milano #Roma /ppbr/ppstrongBasic Qualifications /strong /ppbr/pulliBachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related field /liliFoundational programming experience in at least one primary language: Python, Java, TypeScript, or Node.js /liliBasic understanding of web technologies including JavaScript, HTML, and CSS /liliAcademic projects, internships, or personal projects in software development that demonstrate you can build and ship working code /liliUnderstanding of Agile delivery fundamentals /liliActive and frequent use of AI tools in day-to-day study or work — successful candidates can demonstrate practical, everyday examples of how they leverage AI to solve problems, accelerate learning, and improve their output /liliSound judgment when using AI: ability to validate outputs, understand limitations, and show curiosity about how AI is reshaping modern software engineering /liliDemonstrated curiosity about agentic AI — evidence of self-directed exploration through personal projects, side builds, online courses, or experimentation with tools like LangChain, LangGraph, AutoGen, or equivalent; we are looking for inclination and initiative, not production experience /li /ulpbr/ppstrongPreferred Skills Exposure /strong /pulliSome exposure to LLM APIs in any context (personal projects, coursework, or work) /liliAPI and service-oriented architecture /liliDatabases — SQL or NoSQL /liliCloud platforms (AWS, Azure, or GCP) and DevOps concepts /liliFrontend frameworks such as React or Angular /liliContainers (Docker) and CI/CD pipeline basics /li /ul

📌 AI Native Software Engineering (Torino)
🏢 Accenture
📍 Torino