AI / Machine Learning Engineer - Generative AI

• 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, 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 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.