AI role · Open offer
Senior AI Developer — marketplace intelligence
Mirakl
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
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
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.
- KubernetesTool
Deploying and scaling model services with health checks, autoscaling, and rollout discipline.
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 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.
- ✓
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What the employer asked for
Marketplace search, catalog ML, or seller copilot with business metrics.
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