Lead AI engineer

Lead the design, development, and adoption of AI systems within a strategic business domain. You will combine deep AI engineering expertise with product and business understanding to identify high-impact opportunities, define roadmaps, and deliver measurable outcomes.

As the AI technical lead for your domain, you will drive architecture decisions, engineering excellence, and AI adoption across teams and stakeholders. Typical domains include Sales, GTM and Marketing or Finance & Legal.

This is a permanent position (CDI) based in Paris or Bordeaux, with 4 days on-site per week.

Annual gross salary range (package)

€90,000 – €100,000

What you’ll do

1. Own Tech Strategy for Your Domain

• Identify high-value opportunities with Business leaders.
• Define the Tech vision and own the agent product roadmap for your domain.

2. Lead AI System Development

• Design and build production-grade AI systems.
• Drive architecture decisions.
• Ensure scalability, reliability, and maintainability.

3. Drive Adoption & Business Impact

• Work closely with end users.
• Measure adoption and outcomes.
• Accelerate AI transformation across your domain.

4. Establish Technical Excellence

• Promote best practices for evaluation, testing, guardrails, and observability.
• Review designs and mentor engineers.
• Raise the quality bar across initiatives.

5. Grow AI Capability

• Mentor AI Engineers and Agent Builders.
• Share knowledge and reusable components.
• Build AI expertise within your organization.

Success Metrics

• Business impact delivered by AI initiatives.
• Adoption within the domain.
• Technical quality and reliability.
• Team capability growth.

Your 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.

You’ll Love This Job If you have

• 7+ years in Software Engineering, ML Engineering, or Applied AI.
• Strong experience with LLMs, RAG, AI Agents, evaluation, and production systems.
• Ability to influence Product and Business decisions.
• Proven leadership on complex cross‑functional initiatives.

1. A 30-40 minute phone conversation with one of our Tech recruiters.
2. An initial 1 hour technical discussion with a member of the Data Science team and Engineering Team.
3. 2 x 45-minute STAR interviews with future Mirakl colleagues to discuss our values and company culture.

We welcome collaborators with diverse perspectives and experiences to 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.