S Senior AI Engineer
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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.
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.
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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