AI / Machine Learning Engineer – Generative AI

At Aramis Group, the international entity of Aramisauto, we are transforming the way Europeans buy refurbished cars. Damien, our Head of AI & Data, is looking for an AI / Machine Learning Engineer specialising in Generative AI to help us build and scale our LLM capabilities across the Group.

You will join a young, multidisciplinary data team working on concrete, high-impact use cases for our customers and employees.

Your mission

• Build and deploy Generative AI solutions that improve customer interactions
• Develop reliable, scalable and production-ready LLM applications for Aramis Group’s different countries.
• Explore new AI approaches, assess their value and share your learnings with the team.
• Contribute to the continuous improvement of our AI products, from experimentation to production monitoring and optimisation.

Concretely, you will…

• Design, develop and deploy conversational AI agents
• Work on voice-based use cases, including AI-powered call handling, speech-to-text and text-to-speech.
• Integrate LLMs, APIs, vector databases and RAG architectures into business applications.
• Build and maintain robust data and AI pipelines using Python, SQL, Docker and cloud technologies.
• Monitor production systems, investigate incidents and communicate proactively about releases and malfunctions.
• Contribute to technical choices, including the assessment of whether to build or buy a solution.
• Share your findings and help the team stay up to date with the fast-changing Generative AI ecosystem.
• Take responsibility for the safety, quality and reliability of the solutions you develop.

Your tools

Python · SQL · Docker · LangChain · Hugging Face · FastAPI · OpenAI API · Anthropic Claude · Google Vertex AI · RAG · Pinecone · Weaviate · pgvector ·· Whisper · · Elasticsearch · Kibana · Snowflake · AWS · GitLab elevenlabs

The profile we are looking for

• You have a degree in data science, machine learning, statistics, econometrics, computer science or a related field, or equivalent professional experience.
• You have several years of experience in AI or Machine Learning Engineering, with hands‑on experience developing and deploying solutions in production.
• You have strong technical foundations in Python, SQL and Docker, as well as a good understanding of machine learning and deep learning concepts.
• You have practical experience with LLMs, prompt engineering, RAG architectures, vector databases or conversational AI.
• You understand the different stages of a data or AI project and know how to focus on the value created for the business and the end customer.
• You are curious, proactive and comfortable testing new approaches, asking questions and challenging your own assumptions.
• You communicate clearly with both technical and non‑technical stakeholders, and you are comfortable working in a multidisciplinary and international environment.
• You are fluent in French and English. Spanish or Italian would be a plus.

Why join Aramis Group?

• Work on Generative AI use cases that directly transform the customer journey and the daily work of our teams.
• Contribute to projects deployed across several European countries and collaborate with international stakeholders.
• Join a multidisciplinary and supportive data team bringing together Data Scientists, Data Engineers, AI Engineers, Product Managers and business experts.
• Experiment with the latest LLM technologies in a pragmatic, business‑driven environment where learnings are shared openly.
• Grow in a challenging environment based on teamwork, continuous improvement and the ability to question the status quo.

You will be based in Arcueil, with a hybrid working model: 3 days per week on site and 2 days remotely.

You will also benefit from Aramisauto’s employee package, including health insurance, works council benefits and an on‑site company restaurant.

Our recruitment process

• An initial HR interview with Anne‑Sophie
• A technical interview with Fabrice
• A peer interview with Valentin and Hugues
• A final soft skills and team fit interview with Damien