Grundlegend
Senior AI Engineer
giuliano di roma, lazio, Italy
Gesellschaft:
JR Italy
Kunde / Arbeitgeber:
Always Friday
Gepostet: 18.05.2026
Abschlussdatum: 02.07.2026
Berufsreferenz: 6887d99e905657cf6ea6b7a207e4d6d5
Stelleninformationen
Lage
giuliano di roma, lazio, Italy
Gesellschaft
JR Italy
Kunde / Arbeitgeber
Always Friday
Berufsreferenz
6887d99e905657cf6ea6b7a207e4d6d5
Auflistungstyp
Grundlegend
EU-Arbeitserlaubnis erforderlich
Nein
Gepostet
18.05.2026
Abschlussdatum
02.07.2026
Stellenbeschreibung
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...
Fähigkeiten
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