10/18/2026 updated


40 % partially available
Senior AI Engineer | AI agents, RAG, document data extraction
Rome, Italy
Only remote
MEng Computer Engineering, University of Calabria; Product Management, Product HeroesAbout me
I build AI systems that companies run in production: agents, assistants that answer from company documents, and data extraction from invoices and PDFs. 9 years of full-stack work, now focused on AI. I work on fixed-scope milestones with written updates, CET time zone.
AI AgentsOpenAIArtificial IntelligenceOptical Character Recognition (OCR)Business Process AutomationPython (Programming Language)PostgreSQLNode.jsNext.jsMicrosoft SharePointTypeScriptReact.jsLarge Language ModelsMulti-Agent SystemsPrompt Engineering
AI agents and automation
Agents that run real business processes, with human approval where it matters. Claude and OpenAI APIs, Claude Agent SDK, MCP, n8n, Make.
RAG and knowledge assistants
Assistants that answer from company documents and cite their sources, with retrieval filtered by each user's permissions. Microsoft 365 (SharePoint, OneDrive, Outlook via Microsoft Graph), HubSpot, Slack.
Document data extraction
Reading invoices, bank statements and other PDFs with LLMs, checking the data against rules and loading it into ERP or accounting software. Italian e-invoicing (FatturaPA XML).
Taking AI to production
Evaluation with LLM judges and ground-truth metrics, deterministic quality gates, cost control per run, automated tests.
Full-stack development
9 years with TypeScript, React, Next.js, Node.js, Python, FastAPI, Java/Spring, PostgreSQL/Supabase, Stripe, Vercel, GitHub Actions, Playwright and Vitest. Corporate banking (Intesa Sanpaolo) and a London fintech scale-up.
Product
Master in Product Management (Product Heroes, 2025): discovery, validation, metrics, go-to-market.
Experience
Professional experience5 - 10 years
Freelancer since2024
Languages
EnglishFluentItalianNative speaker
Project history
I founded and run LiftyUP, an AI-native software studio. I define products and validate them with users, write production code with AI, and manage clients from the first call to delivery.
Services: document data extraction and checking, AI agents on business processes, AI knowledge bases.
Own products: House Vertical (property reports built from public data) and a tool for accounting firms that reads foreign invoices and prepares the files for their accounting software.
Frontend engineer at Landytech, a London fintech scale-up with a data-heavy investment-reporting platform. Worked remotely from Italy.
Built fast React interfaces for complex financial data: code-splitting, lazy loading, React Query, Redux for complex state, in an Nx monorepo with Jest and React Testing Library coverage.
Mentored junior developers, led code reviews, and owned frontend architecture and reusable component libraries.
Full-stack engineer at Fides Consulting on a corporate-banking SaaS for Intesa Sanpaolo, at enterprise scale.
Built Angular and TypeScript features under strict security, reliability and compliance requirements, integrated Java / Spring Boot REST APIs, and handled deploys on Jenkins and OpenShift.