The right career for all

Created in 2006, leboncoin.fr is an exchange platform that simplifies access to consumption, favors local relations and makes digital a tool at the service of all. leboncoin is positioned as a digital, economic, societal, innovative player, always with the same objective: to facilitate all day-to-day exchanges for all of our users. We give a second life to thousands of goods. Behind this apparent simplicity, there is a fast-growing company with 1,400 employees, where it is good to work, a company that cultivates a responsible and collective HR approach. We are also the 1st site for sales between individuals in France and the 5th most consulted site in France.

What you’ll do ​& Who you are

You love working in a team, value human connection, and are motivated by the desire to accelerate AI adoption within an innovative and dynamic organization where you can explore, experiment, and bring your ideas to life — we want to meet you!

We’re looking for an AI Enabler to help drive organizational transformation by supporting AI adoption across teams:

• Support teams with their experimentation and evolving needs

• Explore and test new AI paradigms and tools, especially around Generative AI

• Build reusable components to accelerate integration

• Deploy strategic tools and help shape a modular and sustainable AI architecture

Why this role matters:

• You’ll have a direct impact on large-scale AI adoption

• You’ll work on diverse use cases — from prototyping to full production implementation

• You’ll help drive both cultural and technical transformation by supporting teams with little or no ML expertise

• You’ll get to experiment with innovative approaches (AI agents, MCPs, evaluation frameworks, etc.)

• You’ll act as a catalyst for change, with a transversal role and strong autonomy

Your key missions:

• Explore and test new AI paradigms on real use cases and share learnings

• Help non-ML teams frame, experiment with, and deploy solutions (prompting, evaluation, implementation)

• Develop components that speed up experimentation and integration (evaluation, monitoring, testing, frameworks)

• Identify, test, and deploy strategic tools to accelerate AI usage

• Propose a modular and scalable architecture for critical AI workflows

• Be a driver of innovation and proactive contributor within the organization

Your profile:

• Solid experience in Machine Learning Engineering, Data Science, or a closely related field

• Proven track record of deploying AI projects in real-world environments

• Strong autonomy and ability to lead projects end-to-end

• Excellent understanding of business needs and ability to translate them into actionable solutions

• Passion for exploration and tech watch (GenAI, AI agents, orchestration frameworks, fine-tuning, MCPs, etc.)

• Strong command of LLMs (via APIs or open source), RAG techniques, and evaluation/monitoring/observability tools (LLM-as-a-judge, metrics, feedback loops, traces, etc.)

• Proficient in Python and ML frameworks, with experience in deploying solutions to production

• Ability to simplify complex topics and support non-expert teams

• Strong communication, leadership, and teaching skills

• Ability to work in a hybrid set-up (to cope with the home office - 2 days per week & office working mode)

Why join us:

• Be part of a company-wide strategic AI transformation

• Work in a modern tech environment (Kubeflow, Spark, AWS, Kubernetes, latest GenAI tools, Langsmith)

• Create strong impact by supporting multiple teams and building transversal value

• Join an organization where Data and AI are strategic pillars

Recruitment process:

1) Introductory call with a recruiter to understand your goals and answer your questions

2) Interview with a manager to align on expectations and assess your autonomy and cross-functional mindset

3) Take-home technical test to evaluate your approach to an AI project

4) Peer interview to review your solution and explore your technical vision

5) Feedback and debrief after each step with the recruiter

Adevinta is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.

If you feel like you don’t meet all of the requirements for this role but are interested, please consider applying anyway. Research suggests that women and individuals from underrepresented groups may self-select out of opportunities if they don’t meet 100% of the job requirements. We strongly encourage people from historically excluded groups to apply and look forward to speaking with you.