Generative AI Engineer – LLMs & Conversational AI (Hybrid)

Aramisauto; Saint-Ouen-l'Aumône; Hybride; EUR 70 000 - 110 000; Plein temps

Avantages offerts par ce poste

Health insurance

On-site restaurant

Works council benefits

Résumé du poste

Aramis Group seeks an AI / Machine Learning Engineer specializing in Generative AI to scale our LLM capabilities across the Group. You will join a young, multidisciplinary data team delivering high-impact use cases for customers and employees.

You will design, deploy and monitor conversational AI agents, integrate LLMs, APIs and vector databases, and build robust data pipelines using Python, SQL, Docker and cloud tech. Fluency in FR/EN is valued.

Qualifications

• Degree or equivalent in data science, ML, statistics or CS.
• Hands-on experience deploying ML solutions to production.
• Strong foundation in Python, SQL and Docker.
• Practical experience with LLMs, prompt engineering and RAG.
• Familiarity with vector DBs and conversational AI.

Responsabilités

• Build and deploy Generative AI solutions to enhance customer interactions.
• Develop scalable, production-ready LLM apps for Aramis Group across countries.
• Explore new AI approaches and share learnings with the team.
• Improve AI products from experiment to production monitoring.

Connaissances

Hands-on ML engineering

Production deployment

Prompt engineering

LLM integration

Software design

Problem solving

Formation

Degree in data science / ML / CS

Outils

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

Description du poste

Aramis Group seeks an AI / Machine Learning Engineer specializing in Generative AI to scale our LLM capabilities across the Group. You will join a young, multidisciplinary data team delivering high-impact use cases for customers and employees.

You will design, deploy and monitor conversational AI agents, integrate LLMs, APIs and vector databases, and build robust data pipelines using Python, SQL, Docker and cloud tech. Fluency in FR/EN is valued.