Senior AI / Full-Stack Engineer (m/f/d) flyvAI Platform Lead

Detalji posla
OBJAVLJENO
Objavljeno na Feb 19th, 2026
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Apliciranje omogućeno
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1400.00€ po mjesecu (Mogućnost pregovora)
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 AI / Full-Stack Engineer (m/f/d)

flyvAI Platform Lead

Location: Remote (EU preferred) | Zagreb - Stuttgart | Full-Time / Long-Term


About flyvbird

flyvbird is building what traditional airlines never managed to build:

A demand-first, AI-driven regional air mobility platform.

Our platform is already live and operational. We combine:

Customer booking system (Next.js, TypeScript)

Admin Operations Console

API backend (Express.js, PostgreSQL)

ML service (FastAPI, scikit-learn)

Demand clustering & predictive routing (flyvAI)

We are now moving from Phase 1 “Human Algorithm” to Phase 2 autonomous AI optimization.

For this, we are building our own long-term in-house tech leadership.


Your Mission

You will take technical ownership of flyvAI and the entire booking platform stack.

This is not a feature-factory role.

This is a platform-stabilization, AI-evolution, and architectural leadership position.

You will:

Ensure platform stability in a business-critical environment

Eliminate structural weaknesses

Strengthen ML intelligence and automation

Prepare the system for scaling beyond 100k+ search events


Technical Environment

Frontend

Next.js

TypeScript (strict mode)

Framer Motion

i18n (DE/EN)

OAuth (Google, Apple)

Computop 3DS + PayPal integration

Backend

Express.js + tRPC

PostgreSQL (Cloud SQL)

Drizzle ORM

Redis

JWT authentication

PDF generation (Invoices, BCBP, Apple Wallet)

Dynamic pricing engine

Atomic seat inventory locking

ML Service

FastAPI (Python)

scikit-learn Random Forest

pandas / numpy

SQLAlchemy

APScheduler (auto retraining)

Dockerized deployment

Model versioning & metadata storage

Demand clustering & route prediction

25-feature prediction model

Automated retraining (24h)


 Responsibilities

1️⃣ Platform Stability & Architecture Control

Audit full stack (Admin, User App, API, ML)

Identify structural bottlenecks

Eliminate recurring bugs

Improve performance under load

Strengthen monitoring & observability

2️⃣ AI & flyvAI Evolution

Improve prediction model accuracy

Enhance DemandMatch clustering logic

Implement dynamic route optimization

Develop advanced ML pipeline

Prepare model infrastructure for multi-model architecture

3️⃣ Business-Critical Ownership

The platform is contractually defined as business-critical

SOFTWARE MAINTENANCE Agreement …

You must:

Understand booking/payment impact

Ensure SLA compliance

Prevent revenue-impacting incidents

Architect for zero downtime

4️⃣ Transition & Knowledge Transfer

The current stack was developed externally.

You will:

Build internal technical documentation

Reduce vendor dependency

Prepare platform for partial or full internalization

Design clean handover strategy if needed


You Should Have

Core Skills

Strong Node.js + TypeScript

PostgreSQL performance optimization

Real production payment system experience

Experience with booking/inventory systems or similar atomic locking

AI / ML

Strong Python experience

scikit-learn or equivalent

Feature engineering knowledge

Production ML deployment

Model evaluation (F1, precision, recall)

Experience with prediction services at scale

Architecture

Cloud Run / containerized environments

CI/CD pipelines

Observability (Sentry, logs, monitoring)

Scalability & load considerations

Bonus

Aviation domain knowledge

Dynamic pricing systems

Revenue optimization systems

Demand clustering / recommendation engines


 What We Offer

Direct impact on a live aviation platform

Equity participation possible

Full ownership and architectural freedom

Work directly with founder & CTO

Build the “Uber-logic” for aviation


Ideal Profile

You:

Think in systems, not tickets

Care about stability

Hate fragile architectures

Want to build something category-defining

Can work independently

Prefer responsibility over bureaucracy


 Growth Path

Year 1:

Platform stabilization

AI improvement

Ownership transition

Year 2:

Multi-aircraft scaling

Real-time demand routing

Advanced revenue AI

Long term:

CTO or Head of AI opportunity possible


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