Senior AI Engineer - Remote, LLMs, RAG, Data Pipelines

Coface; Bois-Colombes; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

50% public transport reimbursement

Meal vouchers for remote days

Remote work allowance

Job summary

Coface is hiring a Senior Data & AI Engineer to lead scalable data pipelines and enterprise AI solutions. You will work with business information teams to implement LLM-powered applications, RAG solutions, and AI agents while enforcing security and governance standards.

Ideal candidates have 5+ years in data engineering, strong Python/SQL skills, and experience with cloud environments (AWS/Azure/GCP) and open-source AI tooling. English communication is essential.

Qualifications

• Master's degree in Computer Science, Data Engineering, or related field.
• 5+ years of software or data engineering experience, 2+ years with AI/LLMs.

Responsibilities

• Design, develop, and maintain scalable data pipelines (ETL/ELT).
• Build and deploy AI-powered solutions using LLMs and generative AI tech.
• Architect Retrieval-Augmented Generation (RAG) solutions with vector DBs.
• Develop AI agents and multi-agent systems with prompt engineering and orchestration.
• Integrate AI capabilities into enterprise apps via APIs and microservices.
• Deploy and operate on AWS, Azure, or GCP; ensure security and governance.

Skills

Python

SQL

LLMs

Generative AI

RAG

LangChain

LlamaIndex

Semantic Kernel

Vector databases

AWS

Azure

GCP

ETL/ELT

Data pipelines

Docker

Kubernetes

AI security

Data governance

Cloud deployment

English communication

Education

Master's degree

Tools

Docker

Kubernetes

Job description

Coface is hiring a Senior Data & AI Engineer to lead scalable data pipelines and enterprise AI solutions. You will work with business information teams to implement LLM-powered applications, RAG solutions, and AI agents while enforcing security and governance standards.

Ideal candidates have 5+ years in data engineering, strong Python/SQL skills, and experience with cloud environments (AWS/Azure/GCP) and open-source AI tooling. English communication is essential.