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Salary
$58k – $67k per year
Location
Hybrid (Paris, France)
Employment
Freelance

First seen by Alion on Oct 28, 2026.

Overview
Company
Impact
Profile match
Headquartered in France and Tunisia, Mosofty is an artificial intelligence, cloud computing, and enterprise software development company. The organization offers a suite of digital transformation services - including AI engineering, cloud infrastructure, big data analytics, and custom software development - alongside specialized proprietary solutions such as conversational AI assistants (Audix and ALITA), OCR document automation (Scano AI), and industry-specific platforms for healthcare operations (CLINICONET) and workplace safety monitoring (Behavix). By combining scalable technology with domain-specific AI applications across Europe and North Africa, the enterprise enables corporate, healthcare, and public sector clients to automate workflows, optimize decision-making, and modernize legacy IT operations.

Nous recherchons un AI Engineer expérimenté pour une mission longue durée au sein d’un grand groupe, autour du maintien en condition opérationnelle et de l’évolution d’une plateforme d’intelligence artificielle générative.

Contexte de la mission:

Vous interviendrez sur une plateforme d’IA générative en production, avec pour objectifs de garantir sa stabilité, d’améliorer ses performances, de renforcer sa sécurité et de contribuer à l’industrialisation des solutions IA.

Vos principales missions :

  • Assurer la continuité de service et le bon fonctionnement de la plateforme IA.

  • Optimiser les performances des solutions LLM et RAG.

  • Contribuer à la sécurisation de la plateforme et à sa mise en conformité RGPD.

  • Renforcer les stratégies de tests, automatiser les contrôles et améliorer la chaîne CI/CD.

  • Participer aux évolutions techniques et à l’industrialisation des solutions d’IA générative.

  • Mettre en place des pratiques d’observabilité et d’amélioration continue.

Compétences techniques recherchées:

  • IA générative : LLM, RAG, LLMOps, MLOps.

  • Data Engineering : Hadoop, Hive, Spark, Kafka, Cloudera.

  • Business Intelligence : Power BI, Cognos, Essbase.

  • ETL et intégration de données : DataStage, Informatica, Talend.

  • Industrialisation : DevOps, CI/CD, automatisation des tests, observabilité.

  • Sécurité : protection des données, conformité RGPD et maîtrise des risques.

Profil recherché

Profil recherché:

  • Expérience confirmée en ingénierie IA et en IA générative.

  • Bonne compréhension des enjeux de mise en production et de maintien en condition opérationnelle des plateformes IA.

  • Capacité à analyser les incidents, optimiser les performances et proposer des améliorations concrètes.

  • Autonomie, rigueur et esprit d’analyse.

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