Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Paris, France"), this listing's salary midpoint is about 42% lower. The offer sits below the benchmark range (€7,681–€13,890). The listed pay band (€5,417–€7,083) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 4 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: AI Engineer | €10,128/per month | €12,298/per month | €14,468/per month |
| All roles in Paris, France | €7,681/per month | €11,054/per month | €13,890/per month |
| From job ad (Senior) | €5,417/per month | €6,250/per month | €7,083/per month |
About Mirakl: Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy. For more information: www.mirakl.com About the job Design, build, and scale production-grade AI systems that power the next generation of intelligent commerce. 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. What You’ll Do 1. Design & Build AI Systems 2. Integrate Across the Stack 3. Iterate for Impact 4. Ensure Quality, Security & Reliability 5. Drive Adoption & Enablement 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
Job Details
Responsibilities
- Design & Build AI Systems
- Integrate Across the Stack
- Iterate for Impact
- Ensure Quality, Security & Reliability
- Drive Adoption & Enablement
Requirements
- 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
Skills & Technologies
Benefits & Perks
Recruitment Process
- 1Phone screen
- 2Technical interview
- 3STAR interviews
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