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
• ⚙️ 5 Saas Solutions

Our Values:

Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the spanersity 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

About the job

Design, build, and scale internal AI agents that integrate with company systems, automate workflows, and deliver measurable operational impact.

This is a hybrid role with an expectation of 4 days in our Boston office and 1 work from home day per week

Why Now, Why Mirakl

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

• 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

• 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

• Run pilots with end users and gather qualitative and quantitative feedback
• Analyze usage, errors, and performance metrics
• Continuously improve accuracy, reliability, and user experience

• 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)

• 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

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 

• 5 plus 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!

#LI-Hybrid

We welcome collaborators with their spanerse 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 our AI Guidelines for Candidates and Interviews.