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Senior AI Engineer

giuliano di roma, lazio, Italy 회사: JR Italy 클라이언트 / 고용주: Always Friday
게시됨: 18.05.2026
마감일: 02.07.2026
직무 추천서: 6887d99e905657cf6ea6b7a207e4d6d5

직무 정보

위치
giuliano di roma, lazio, Italy
회사
JR Italy
클라이언트 / 고용주
Always Friday
직무 추천서
6887d99e905657cf6ea6b7a207e4d6d5
목록 유형
기본
EU 취업 허가 필요
아니
게시됨
18.05.2026
마감일
02.07.2026

직무 설명

We're a 9-person startup (4 founders + 5 team members) building the first AI-powered humanless event agency. We have 40+ AI agents in production, real paying customers, and we need another senior engineer to help us move faster. You'll build multi-agent workflows, write system prompts in Italian and English, and ship to production daily. Equity included.Companies tell our AI what they need - a corporate retreat for 200, a team building in Tuscany, a product launch in Milan - and our platform handles the rest: gathering the brief through conversation, searching venues, processing supplier proposals, and managing the entire event lifecycle.No forms. No back-and-forth emails. Just natural language.Our stackTypeScript monorepo (Turborepo + Bun), Mastra Framework, Azure OpenAI (GPT-5.2), Next.js 16, React 19, PostgreSQL, AWS ECS.The TeamWe're 9 people total - 4 founders and 5 team members. Two co-founders work on the product daily: Lorenzo (CTO) and Daniele (CPO). The engineering team is Lorenzo and a Founding Engineer. You'd be the third engineer, working directly with both co-founders.How We Work Ship daily - CI/CD goes straight to ECS. Your code hits production the same day.AI-first - We build with Claude Code, Cursor, whatever makes us faster. We'll give anything you need to experiment and build faster (eg. Claude Code subscription or the AI tool you prefer)Pragmatic - Simple solutions, DRY code, iterate based on real usage. No over-engineering.Flexible - Core hours 9:15-18:15 CET. We care about output.Fast - Slack message > meeting. Always. TasksWhy This RoleMost "AI Engineer" roles are about wrapping an API call in a chatbot. This isn't that.We have 40+ specialized agents across 5 major workflows already in production - parallel execution, human-in-the-loop conversations, document understanding, real-time streaming to a React frontend. Every agent has a purpose, a structured output schema, and a place in a larger orchestratio...

기술

Agile Project Management Algorithms analyse big data analyse business requirements apply ICT systems theory apply systemic design thinking Artificial Neural Networks Assembly (computer programming) assess ICT knowledge build business relationships build predictive models build recommender systems Business Analytics Business Intelligence business process modelling C COBOL CoffeeScript Common Lisp computer programming Computer Simulation Computer Vision create data sets creatively use digital technologies Data Mining Data Models Data Science database development tools Deep Learning define technical requirements deliver visual presentation of data design application interfaces design database scheme design process develop creative ideas develop statistical software digital data processing Erlang Groovy Haskell ICT project management methodologies identify processes for re-engineering Information Architecture information categorisation Information Extraction information structure Java (computer programming) JavaScript lean project management LINQ Lisp manage business knowledge manage ICT data classification manage ICT semantic integration Matlab Microsoft Visual C++ ML (computer programming) N1QL Objective-C OpenEdge Advanced Business Language operational research Pascal (computer programming) perform dimensionality reduction Perl PHP principles of artificial intelligence Process-based management Prolog (computer programming) Python (computer programming) R resource description framework query language Ruby (computer programming) SAP R3 SAS language Scala Scratch (computer programming) Smalltalk (computer programming) SPARQL Swift (computer programming) systems development life-cycle task algorithmisation TypeScript Unstructured Data use data processing techniques utilise machine learning VBScript Visual Basic visual presentation techniques

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