AI Engineer

Mirakl - Labs·Bordeaux, Gironde, Francesenior

In short

→Diseñar e implementar sistemas de IA de producción para comercio inteligente en Mirakl.
→Trabajar con LLMs, agentes de IA, RAG y flujos agenticos en entornos empresariales reales.
→Destacado: trabajar en la vanguardia del comercio agente, no solo explorar IA, sino construirla.

Fluency in English required for collaboration with global teams.

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What they ask for

✓Experiencia demostrable en diseño y despliegue de sistemas de IA en producción.
✓Conocimiento profundo de LLMs, RAG, agentes de IA y flujos agenticos.
✓Capacidad para integrar IA con sistemas empresariales (CRM, Jira, bases de datos, etc.).
✓Experiencia con evaluación y observabilidad de modelos de IA.
✓Habilidades en ingeniería de software de alto nivel para sistemas escalables.
✓Formación en ciencias computacionales, ingeniería, o disciplina afín.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

LLMsRAGAI AgentsMultimodal AIEvaluation frameworksCRMData platformDriveJiraSupport tools

Who should you write to at Mirakl - Labs?

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About Mirakl: Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy. Today, Mirakl's operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus). With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy's, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways. com . Tech Next40 👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo 🇫🇷 350+ Mirakl Tech teams members mainly based in France ⚙️ 5 Saas Solutions Our Values: Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique. About the job Design, build, and scale production-grade AI systems that power the next generation of intelligent commerce. You will work at the intersection of Software Engineering, Machine Learning, and Generative AI to build AI-native products, agentic systems, and platform capabilities used by Mirakl customers and internal teams. This is a permanent position (CDI) based in Paris or Bordeaux, with 4 days on-site per week. Annual gross salary range (package): €55,000 – €65,000 This range is provided for transparency purposes and reflects our internal compensation grid for this role level. The final offer will be determined based on your experience, skills, and the scope of responsibilities involved. Why Now, Why Mirakl Generative AI and AI Agents are fundamentally reshaping commerce software and the way our teams work on a day to day basis. At Mirakl, AI is becoming a core part of our product strategy. From Catalog Transformer and content generation to AI Agents and Agentic Commerce, we are building the next generation of commerce software. And we have the same ambition for our teams around AI products and adoption. We are looking for a Senior AI Engineer to transform the way our internal teams work, and to have a significant impact on the agentic side of our Saas products. You won't be joining a company that's thinking about AI. You'll be joining one that's already building it. What You'll Do 1. Design & Build AI Systems Design, build, and deploy production-grade AI systems for both Mirakl internal operations. Develop solutions leveraging: LLMs, RAG, AI Agents, Multimodal AI and Evaluation frameworks. Architect complex agentic workflows including tools, memory, retrieval, planning, and guardrails. Rapidly prototype new capabilities and evolve them into scalable, reliable AI production systems. 2. Integrate Across the Stack Connect AI systems to internal platforms, business applications, and data sources across the company. Enable AI agents to interact with systems such as CRM, data platform, Drive, Jira, support tools, and internal knowledge bases. Design robust orchestration layers between models, APIs, tools, retrieval systems, and business workflows.

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