07 set - Milano
Rgi Group
Overview
As an Agentic Software Engineer at RGI, you will contribute to the development of the IIAB software ecosystem using a structured, AI-augmented delivery framework.
You will work across the end-to-end lifecycle of a User Story - from functional review and technical analysis through coding, testing, release and system validation. You will use AI coding assistants and specialised agents to improve speed and productivity, while remaining directly accountable for the quality of the final delivery.
This opportunity is particularly suited to an experienced Java/backend engineer who combines strong technical foundations with critical thinking, process discipline and an interest in how AI can improve software engineering. Success in the role is not measured only by the volume of code produced, but by the reliability, coherence, testability and maintainability of the complete solution.
Key Responsibilities
Use RGI's agentic development framework across functional review, technical analysis, test design, mocks and guardrails, coding, unit testing, release and system testing.
Interpret functional requirements and User Stories, translating them into robust technical analyses and solutions aligned with the application architecture, product standards and project constraints.
Develop and maintain enterprise Java/backend components, APIs and application integrations.
Use GitHub Copilot, Claude, ChatGPT or comparable AI tools to support technical analysis, coding, testing and defect investigation.
Critically review AI-generated analysis, code, tests and documentation, identifying logical errors, inconsistencies, hallucinations, missing context and deviations from engineering guidelines.
Own the relevant quality gates and ensure that delivery controls are completed without shortcuts that could compromise reliability or release quality.
Investigate defects, regressions and anomalies, distinguishing between issues caused by code, configuration, context or the interpretation
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