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.
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
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
- Satisfy & Empower Clients: We're committed to our clients' success
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): €65,000 – €85,000
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.
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.
- 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.
- 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.
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
- 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
- Product adoption and business impact
- Performance and reliability of AI systems
- Quality of AI outputs and evaluation metrics
- 5+ years of experience in Software Engineering, ML Engineering, Applied AI, or related fields
- Strong Python and software engineering fundamentals
- Hands-on experience building production AI systems using LLMs, RAG, and AI Agents
- Experience designing multi-step agentic workflows and retrieval systems
- Experience evaluating AI systems and improving model performance
- Experience deploying and operating production services in cloud environments
- Strong communication skills in English
- Curiosity, pragmatism, and passion for building AI products
Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!
- A 30-40 min 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.
As part of our recruitment process, Mirakl processes your personal data to review and manage your application and, where appropriate, to consider your profile for future opportunities. You can exercise your data protection rights at any time, and as further detailed in our policies. For more information about how we process your personal data and your rights, please consult our Recruitment Privacy Notice, here in English and here in French.
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 our AI Guidelines for Candidates and Interviews.
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