Software Engineer – Insurance Domain

RGI S.P.A.

. Use RGI's agentic development framework across functional review, technical analysis, test design, mocks and guardrails, coding, unit testing, release and system testing .

Posted 9/21/2026full-timeMilan • ItalyMid-LevelSenior💰 €45,000 - €55,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in enterprise Java/backend development, including the use of frameworks like Spring and Spring Boot, while effectively utilizing AI tools for coding and testing. Proficient in translating functional requirements into technical solutions and ensuring high-quality delivery through rigorous testing and collaboration.

Highest-signal resume keywords

Enterprise Java DevelopmentSpring FrameworkREST API DevelopmentAgile Delivery MethodsAI Coding Assistants

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaSpring BootSQLUnit TestingIntegration TestingCI/CD PipelinesTechnical AnalysisApplication IntegrationDefect InvestigationCoding Practices

Soft Skills

CollaborationCritical ThinkingProblem Solving

Tools & Technologies

GitHub CopilotChatGPTClaudeGit

Industry Keywords

Insurance DomainPolicy AdministrationClaimsProduct ConfigurationBillingSystem Integrations

Tech Stack

Tools & technologies

JavaSpringSpring BootSpringBootSQL

About the role

Key responsibilities & impact

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 of functional requirements
Collaborate closely with Business Analysts, Technical Leaders, Product Owners, senior developers, R&D colleagues and AI teams
Contribute to continuous improvement by enriching knowledge bases and standardising effective prompts, queries, examples and reusable engineering patterns

Requirements

What you’ll need

Solid hands-on experience in enterprise Java/backend software development
Experience delivering and supporting complex applications, ideally in structured or mission-critical enterprise environments
Practical experience turning functional requirements into technical analysis, code and testable solutions
Experience working with Agile delivery methods, code-review practices, quality gates and structured release processes
Practical use of AI coding assistants in software development, with the ability to explain how their output was verified and improved
Insurance-domain experience is a strong advantage, particularly across policy administration, claims, product configuration, billing or system integrations
Strong knowledge of Java and enterprise backend development
Practical experience with Spring, Spring Boot or comparable Java frameworks
Experience with REST APIs, web services and application integrations
Good knowledge of SQL and relational databases
Experience with Git, branching models, collaborative code review and CI/CD pipelines
Strong unit-testing, integration-testing and structured debugging skills
Ability to construct effective prompts and provide AI tools with clear, relevant technical context
Understanding of the limitations of large language models, including hallucination, context loss, incomplete reasoning and overconfidence
Familiarity with RAG, knowledge bases, specialised AI agents, MCP or broader agentic workflows is useful but not essential
Italian language is required for day-to-day collaboration
Good professional English is required
A degree in Computer Science, Computer Engineering or a related discipline is preferred, although equivalent practical experience will also be considered

Benefits

Comp & perks

A role at the intersection of software engineering, artificial intelligence and insurance product development
The opportunity to help shape and improve a structured agentic software-development framework in a real enterprise environment
Hands-on exposure to complex insurance platforms and mission-critical delivery challenges
Close collaboration with Product, Business Analysis, Technical Leadership, R&D and AI specialists
Continuous learning and professional growth as AI-augmented engineering practices evolve