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. For more information: www.mirakl.com. Mirakl in Numbers:
🗓️ Founded in 2012 | Member of French 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. Our 5 values guide how we collaborate:
💡 Work Hard Together: Teamwork and collaboration are the foundation of our success
🏆 Get Things Done: We prioritize action and efficiency for impactful results
🚀 Go Above & Beyond: We tackle challenges proactively and always aim for excellence
🎓 Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture
The rise of agentic AI has fundamentally changed what's possible in our team automation. For the first time, AI agents can handle complex, multi-step workflows with minimal human intervention. Mirakl is uniquely positioned to lead this shift. As an Operating system for intelligent commerce, technology is in our DNA. We've already deployed some AI agents using Dust, n8n, Claude Code and Langchain, and the early results are compelling. Now we need someone to take this from experimentation to internal agent industrialization — designing the system that will power the company of tomorrow. You won't be joining a company that's thinking about AI. You'll be joining one that's already building it — and you'll be at the center of what comes next.
Who are we looking for?
Backend Engineer with AI exposure – solid on APIs, reliability, and scalable integrations, with growing experience in LLMs
Data / Analytics Engineer – strong on data structuring and business use cases, relevant for analytics-driven agents
ML / Applied AI Engineer – good understanding of LLMs, RAG, and evaluation, with potential to grow on productization
What You’ll Do
1. Design & Build AI Agents
Create workflow-driven AI agents (e.g., BDR, Contract, Accounting agents)
Architect multi-step agent systems including prompts, tools, memory, and guardrails
Rapidly prototype solutions and evolve them into production-grade products
2. Integrate Across the Stack
Connect agents to internal systems (CRM, data platforms, Drive, Jira, etc.)
Enable agents to perform real actions (e.g., update CRM, generate reports, create tickets)
Ensure reliable orchestration between APIs, tools, and data sources
3. Iterate for Impact
Run pilots with end users and gather qualitative and quantitative feedback
Analyze usage, errors, and performance metrics
Continuously improve accuracy, reliability, and user experience
4. Ensure Security & Quality
Implement robust guardrails, validation layers, and access controls
Ensure compliance with data security and governance standards
Clearly document each agent (scope, capabilities, limitations, KPIs, roadmap)
5. Drive Adoption & Enablement
Build a clean, scalable agent ecosystem for internal users
Support and educate teams on adopting agents in their workflows
Contribute to internal best practices and agent-building standards
Act as a champion for AI-driven ways of working
Collaborative: you work hand-in-hand with our process owners, the Solution architect and the Data team. ### Our stack and tools:
GenAI APIs: OpenAI, Anthropic, Mistral, Gemini
Agent & Automation Tools: n8n, Dust, Claude
Cloud: AWS or GCP
(Optional): LangChain, LlamaIndex
What Makes You Successful
Strong product mindset: able to identify friction and design practical solutions
Ability to turn ambiguous problems into structured, automated workflows
Focus on measurable impact, not just technical output
Success Metrics
Adoption: number of agents actively used and delivering value
Automation rate: % of tasks completed without human intervention
Performance: accuracy, reliability, and user satisfaction
Business impact: time saved, quality improvements, operational efficiency
You'll Love This Job If you have
3 to 5 years of experience as a Data Scientist, ML Engineer, or Software Engineer, with a background in backend/full-stack development, data, or automation workflows
Proven experience building AI agents using LLMs, RAG, MCP and related technologies, including architectural design of multi-step agentic workflows
Proficient in Python and data fundamentals (SQL, JSON, data modeling)
Production deployment expertise, you've shipped AI solutions in production
Experience with API integrations, MCP, webhooks, and connectors
Experience with low-code/no-code automation platforms (n8n, Make, Zapier or equivalent)
Curiosity and continuous learning, you stay current with AI/ML trends and love exploring new technologies
Strong communication skills in both English and French
Feel free to add a link to your GitHub in your CV so we can understand what you have worked on! ### Want to join us? Here is our process
A 40-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return. - An initial 1 hour technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects. - 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture. We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you’re ready to join a global leader powering digital transformation for 450+ of the world’s most innovative retailers and B2B organizations..
We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit ourAI Guidelines for Candidates and Interviews*.*