Chaque carte montre le cadre du poste (lieu de travail, type de contrat, localisation, indications salariales), la stack attendue et le contexte entreprise. Connectez-vous en tant que candidat pour enregistrer des offres depuis ce tableau ou la fiche poste, compléter votre profil, puis postuler quand vous êtes prêt.
Publiée le 12 janv. 2026Mise à jour le 3 juil. 2026
Sinequa — Enterprise searchRole context: Search AI SaaS · based in Paris · ~300-600 people · Scale-up · LLM/genAI focus: Partial.You will own delivery across the AI lifecycle—data and evaluation, modeling or LLM-based features, production rollout, and close collaboration with product and domain…
Avantages · Health coverage (statutory + supplemental where applicable), meal vouchers where relevant, flexible hybrid weeks, learning budget.
PythonSQLAWS
Outilsdbt
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Publiée le 11 janv. 2026Mise à jour le 3 juil. 2026
DataGalaxy — Data catalogRole context: Data AI SaaS · based in Lyon · ~100-300 people · Scale-up · LLM/genAI focus: No.You will own delivery across the AI lifecycle—data and evaluation, modeling or LLM-based features, production rollout, and close collaboration with product and domain experts—with…
Avantages · Health coverage (statutory + supplemental where applicable), meal vouchers where relevant, flexible hybrid weeks, learning budget.
PythonSQLAWS
Outilsdbt
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Publiée le 10 janv. 2026Mise à jour le 3 juil. 2026
Toucan Toco — Data storytellingRole context: Data Storytelling AI · based in Paris · ~100-300 people · Scale-up · LLM/genAI focus: No.You will own delivery across the AI lifecycle—data and evaluation, modeling or LLM-based features, production rollout, and close collaboration with product and…
Avantages · Health coverage (statutory + supplemental where applicable), meal vouchers where relevant, flexible hybrid weeks, learning budget.
PythonSQLChatGPT
OutilsNotion
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Publiée le 9 janv. 2026Mise à jour le 3 juil. 2026
JoliBrain — Deep learning toolsRole context: Deep Learning SaaS · based in Toulouse · ~10-50 people · Startup · LLM/genAI focus: No.You will own delivery across the AI lifecycle—data and evaluation, modeling or LLM-based features, production rollout, and close collaboration with product and domain…
Avantages · Health coverage (statutory + supplemental where applicable), meal vouchers where relevant, flexible hybrid weeks, learning budget.
PythonSQLAWS
Outilsdbt
Voir l’offre
Publiée le 8 janv. 2026
Mise à jour le 3 juil. 2026
Earthcube — Geospatial analyticsRole context: Geo AI SaaS · based in Paris · ~10-50 people · Startup · LLM/genAI focus: No.You will own delivery across the AI lifecycle—data and evaluation, modeling or LLM-based features, production rollout, and close collaboration with product and domain…
Avantages · Health coverage (statutory + supplemental where applicable), meal vouchers where relevant, flexible hybrid weeks, learning budget.