AI role · Open offer

AI Developer — Orange recrutement copilots & NLP

Orange

Full-time
Senior
Orange Business AI
Hybrid
78 Rue Olivier de Serres, 75015 Paris, France · Hybrid
EUR 65k–90k/year + intéressement

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

4 skills2 tools

At a glance

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

Employment: Full-time
Workplace: Hybrid
Location: 78 Rue Olivier de Serres, 75015 Paris, France · Hybrid
Compensation: EUR 65k–90k/year + intéressement
Experience level: Senior
Team: Orange Business AI
Benefits & perks

About this role

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

Orange is hiring a Senior AI Developer — Orange recrutement copilots & NLP on the Orange Business AI 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.

Orange recrute des profils IA pour ses offres télécom et Orange Business en France.

AI Developer (hybrid Paris): copilots, NLP FR/AR, et ML churn — aligné Orange recrutement et Orange offre d'emploi.

Missions

Livrer des assistants client avec évaluation qualité et conformité.
Industrialiser modèles churn / propension avec monitoring.

Stack & environment

Python, LangChain, Azure, Docker.

What we look for

NLP ou GenAI télécom; éligible à travailler en France.

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.
LangChain
Orchestrating LLM chains, tools, and retrieval with observable steps and failure handling.
NLP

Tools & stack

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

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

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: Telecom NLP, churn ML, or customer-care GenAI with French/Arabic.
Several of these show up in recent shipped work—not only on your CV: Python, LangChain, NLP, Machine Learning, 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.

Apply

Candidate accounts only: add your headline and bio on , and optionally a CV link or PDF so recruiters see your full résumé. Then write a short pitch below—applications use your login email.

What the employer asked for

Telecom NLP, churn ML, or customer-care GenAI with French/Arabic.

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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