Senior AI Engineer - Freelance

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, Why Mirakl

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.

What You'll Do

1. Design & Build AI Systems

• 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.

Our 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

Success Metrics

• Product adoption and business impact
• Performance and reliability of AI systems
• Quality of AI outputs and evaluation metrics

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
• 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!

Want to join us? Here is our process 

• 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 1h30 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.

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