Full-Stack Engineer (AI-Powered Platform)

CYBERIOUS Ariana Ville, Ariana Publiée le 9 mars 2026

Détails de l'annonce

Référence

237630

Date de publication

9 mars 2026

Type de contrat

CDI SIVP

Lieu de travail

Ariana Ville, Ariana, Tunisie

Expérience requise

Entre 1 et 2 ans

Niveau d'études

Bac + 5

Salaire proposé

1000 - 2000 TND / Mois

Disponibilité

Plein temps

Langues

Français Anglais

Mobilité

Locale

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Entreprise

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Secteur: consulting / étude / stratégie

Taille: Moins de 20 employés

Description de l'annonce

Full-Stack Engineer (AI-Powered Platform)

We’re looking for a Full-Stack Engineer with strong AI literacy to build and scale the web applications behind our AI-driven research platform. You’ll work end-to-end — from responsive frontend interfaces to backend services and LLM integrations.

Responsibilities

  • Build responsive web interfaces for AI features such as report generation, expert matching, and real-time dashboards

  • Develop and maintain REST APIs with Java (Spring Boot) and Python (FastAPI)

  • Integrate LLMs (OpenAI, Claude via AWS Bedrock) into production workflows

  • Implement RAG-based features, semantic search, and AI-powered recommendations

  • Deploy and manage services on AWS (ECS, Lambda, S3, RDS)

  • Work with PostgreSQL and vector databases (Qdrant)

  • Ensure reliability with logging, monitoring, and CI/CD pipelines

Requirements

  • 2+ years of full-stack development experience

  • Strong frontend skills (React, Angular, or Vue)

  • Backend experience with Java Spring Boot

  • Good knowledge of Python

  • Experience with AWS, Docker, and REST APIs

  • Experience integrating AI/ML models or LLM APIs

Nice to Have

  • Experience with RAG architectures and semantic search

  • Knowledge of LangChain, LangGraph, or agent frameworks

  • Experience with vector databases (Qdrant, Pinecone, Weaviate)

Tech Stack
React/Angular • TypeScript • Java Spring Boot • Python FastAPI • AWS • PostgreSQL • Qdrant • Docker • CI/CD

What We Offer

  • High-impact role in a small, fast-moving team

  • Ownership from feature design to deployment

  • Work with modern AI technologies and LLMs

  • Remote-first environment

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