AI role · Open offer

Développeur IA / AI Engineer

ogmah

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.

3 skills1 tool

Apply now Find matching talent

Share this role

At a glance

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

Employment: Permanent (CDI), Full-time
Workplace: Hybrid
Location: 8 Rue du 8 Mai 1945, 92110 Clichy, France · Hybrid
Compensation: EUR 45k-60k/year
Experience level: Senior
Team: GenAI Delivery
Benefits & perks

About this role

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

ogmah is hiring a Senior Développeur IA / AI Engineer on the GenAI Delivery team (Hybrid · Clichy, 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.

ogmah construit des produits IA appliqués pour des cas d'usage métier (NLP, assistants, automatisation).

Le poste couvre design technique, implémentation et delivery client en environnement hybride.

Ce que vous allez faire

Livrer en production des produits GenAI orientés usage métier 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.
PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
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.

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: Partage un cas client de déploiement IA (NLP/LLM).
Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, NLP, 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 · Clichy, 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-60k/year, benefits in At a glance) and your expectations align.

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

Partage un cas client de déploiement IA (NLP/LLM).

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.

Suggested

AI talent you may also like

Profiles ranked by overlap with this role's skills and tools—handy if you're hiring for a team or comparing backup candidates.

Omar El-Sayed

PyTorch Production Engineer — serving & compilers

Open to remote (EU/US overlap) · AED 420k–520k TC · Dubai, AE

Profile active · Apr 5

3 skills · 1 project · 1 role · 2 use cases

Built

Inference shadow fleet
Side-by-side PyTorch vs ONNXRuntime serving with traffic mirroring; automated diff on logits an…
Repo

Top skills

PyTorchPython

Similar open roles

Other listings that share skills or tools with this one—useful if you want comparable stacks or backup options.

Développeur IA / AI Engineer

AI talent you may also like

Omar El-Sayed

Similar open roles

Marcus Thorne

Camila Rojas

James Okoro

Nina Kowalski

ML Engineer — speech & audio AI

ML Engineer — insurance fraud AI

Développeur IA — RAG & Guardrails

Développeur intelligence artificielle

ML Engineer — health tech AI