AI role · Open offer

Développeur IA / AI Engineer

Webnet

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At a glance

How you'll work, where, and key listing dates.

Employment: Permanent (CDI), Full-time
Workplace: Hybrid
Location: 18 Rue de Londres, 75009 Paris, France · Hybrid
Compensation: EUR 45k-55k/year
Experience level: Senior
Team: AI Studio
Benefits & perks

About this role

What the team is looking for and how this position fits.

Webnet is hiring a Senior Développeur IA / AI Engineer on the AI Studio team (Hybrid · Paris, France). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

Webnet accélère sa practice AI Studio sur des projets fullstack intégrant LLM, data et UX produit.

Vous participerez à la livraison end-to-end de services IA testés, monitorés et maintenables.

Ce que vous allez faire

Livrer en production des services IA fullstack pour clients entreprise avec évaluation offline, monitoring et plan de rollback.
Travailler avec produit, métier et design pour cadrer les besoins et priorités.
Améliorer qualité des données, observabilité et KPI business liés aux usages IA.
Documenter runbooks, incidents et standards de sécurité pour l'équipe.

Profil recherché

Expérience concrète Python / stack ML-LLM avec features déjà déployées.
Bonne pratique SQL, expérimentation et communication claire aux non-tech.
Capacité à gérer les compromis qualité, coût, latence et sécurité.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
TypeScript
Practical TypeScript experience applied to LLM features, retrieval, agents, and evaluation in production or rigorous pilots.
SQL

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

AzureTool
Regular use of Azure in the LLM & generative AI stack—configuration, debugging, and team conventions.
DockerTool
Containerized services and reproducible dev environments for ML and LLM workloads.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Décris un service IA fullstack déployé avec tests.
Several of these show up in recent shipped work—not only on your CV: Python, TypeScript, SQL, Azure, and Docker.
You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Paris, France)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
You read the full listing (comp: EUR 45k-55k/year, benefits in At a glance) and your expectations align.

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What the employer asked for

Décris un service IA fullstack déployé avec tests.

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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