S Senior AI Engineer

About Mirakl

Founded in 2012, member of French Tech Next40, Mirakl provides a SaaS marketplace operating system (enterprise marketplaces, AI-powered multichannel selling, retail media, agentic commerce). 750+ employees in 9 offices (Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo), including 350+ tech team members mainly based in France. Its ecosystem runs 450+ B2C and B2B marketplaces, with brands like Macy's, Decathlon, Carrefour, Asos and Airbus Helicopters.

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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 freelance position based in Paris or Bordeaux, with 1 day of remote work per week.

Why now

Generative AI and AI Agents are fundamentally reshaping commerce software and the way teams work. At Mirakl, AI is becoming a core part of the product strategy, from Catalog Transformer and content generation to AI Agents and Agentic Commerce. We are looking for a Senior AI Engineer to transform the way 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.

1. Design & build AI systems

• Design, build, and deploy production-grade AI systems for 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.
• Ensure reliability, observability, scalability, and maintainability across the entire AI stack.

3. Iterate for impact

• Partner with end users, business teams, Product Managers, and Engineers to identify high-value opportunities for AI.
• Run pilots and experiments, gather qualitative and quantitative feedback, and measure business impact.
• Analyze usage patterns, failure modes, costs, latency, and performance metrics.
• Continuously improve accuracy, reliability, adoption, and user experience through data-driven iteration.

4. Ensure quality, security & reliability

• Implement evaluation frameworks, guardrails, validation layers, and monitoring systems.
• Design AI systems that are secure, explainable, and production-ready.
• Ensure compliance with data security, governance, and access control requirements.
• Document architectures, capabilities, limitations, KPIs, and operational best practices.

5. Drive adoption & enablement

• Build a scalable ecosystem of AI systems and agents that empower both internal teams and customers.
• Support teams in adopting AI-powered workflows and integrating AI into their daily operations.
• Contribute to AI engineering standards, reusable frameworks, and best practices across the company.
• Act as a champion for AI-driven ways of working and help shape Mirakl's transition toward Agentic Commerce. xuezdbg

Stack and tools

• Languages : Python and SQL
• AI stack : OpenAI, Anthropic, Gemini, Mistral and open-source models
• Agentic & retrieval : LangGraph, LangChain, LlamaIndex, MCP and vector databases
• Infrastructure : AWS or GCP, Docker and Kubernetes

What makes you successful

• Strong engineering mindset: able to design reliable and scalable systems
• Strong AI expertise: able to translate the latest AI capabilities into production products
• Strong product mindset: able to balance technical excellence with business impact
• Focus on measurable outcomes, not technical complexity

You’ll love this job if you have:

• 5+ years of experience in Software Engineering, ML Engineering, Applied AI, or related fields
• Strong Python and software engineering fundamentals

Ce qui te ferait sortir du lot (côté sécurité)

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