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AI role · Open offer

Senior AI Developer — marketplace intelligence

Mirakl

Full-time
Senior
Catalog & seller AI
Hybrid
52 Rue de la Chaussée d'Antin, 75009 Paris, France · Hybrid
EUR 75k–105k/year + BSPCE

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.

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At a glance

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

Employment: Full-time
Workplace: Hybrid
Location: 52 Rue de la Chaussée d'Antin, 75009 Paris, France · Hybrid
Compensation: EUR 75k–105k/year + BSPCE
Experience level: Senior
Team: Catalog & seller AI
Benefits & perks: BSPCE, mutuelle, hybrid Paris 9e.
How to apply: Marketplace search, catalog ML, or seller copilot with business metrics.
Company site: www.mirakl.com
Listed: Jun 22, 2026
Updated: Aug 3, 2026

About this role

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

Mirakl is hiring a Senior Senior AI Developer — marketplace intelligence on the Catalog & seller 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.

Mirakl powers enterprise marketplaces for Carrefour, Macy's, and hundreds of global retailers — catalog, seller, and order intelligence from Paris.

Senior AI Developer (hybrid Paris 9e): ship seller copilots, catalog enrichment, and search ranking for multi-vendor platforms with strict tenant isolation.

About Mirakl

French unicorn HQ in Paris; leader in marketplace SaaS across Europe and the US.
AI teams focus on seller productivity and catalog quality at enterprise scale.
Hybrid culture with strong product-engineering partnership.

What you will do

Build RAG and ranking models over seller catalogs and policy docs.
Design evals for suggestion quality before multi-tenant rollout.
Optimize inference cost for peak seasonal traffic.

Stack & environment

Python, LangChain, PyTorch, PostgreSQL, Kubernetes.
Hybrid Paris; French and English used with customers.

What we look for

5+ years ML/LLM in B2B SaaS or marketplaces.
Eligible to work in 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.
PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
SQL
Analytical SQL for features, cohorts, label quality, and experiment analysis at scale.

Tools & stack

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

KubernetesTool
Deploying and scaling model services with health checks, autoscaling, and rollout discipline.
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: Marketplace search, catalog ML, or seller copilot with business metrics.
Several of these show up in recent shipped work—not only on your CV: Python, LangChain, PyTorch, SQL, and Kubernetes.
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 75k–105k/year + BSPCE, benefits in At a glance) and your expectations align.

Apply

Candidate accounts only: add your headline and bio on My account, 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

Marketplace search, catalog ML, or seller copilot with business metrics.

Sign in with a candidate account to apply

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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