AI Engineer

Coface

Île-de-France

Remote

EUR 90,000 - 130,000

Full time

9 days ago

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Benefits offered by this job

Remote work options

50% public transport reimbursement

Meal vouchers for remote work days

Remote work allowance

Job summary

Coface seeks an experienced Senior Data & AI Engineer to lead scalable data pipelines and enterprise AI projects. You will work with Business Information teams to deliver LLM-powered applications, RAG solutions, and AI agents while ensuring security and responsible AI standards.

The role emphasizes deployment and integration of AI into enterprise environments, not model training from scratch. Strong English communication is required.

Qualifications

Master's degree in Computer Science, Data Engineering, or related field.
5+ years in software or data engineering; 2+ years with AI/LLMs.
Proficiency in Python and SQL with robust data pipelines experience.
Experience with RAG architectures, vector databases, and AI orchestration frameworks.

Responsibilities

Design, develop, and maintain scalable data pipelines (ETL/ELT) to support AI, analytics, and BI initiatives.
Build and deploy AI-powered solutions using LLMs and Generative AI technologies.
Architect and implement Retrieval-Augmented Generation (RAG) solutions using vector databases.
Develop intelligent AI agents and multi-agent systems with advanced prompt engineering and LangChain tooling.
Integrate AI capabilities into enterprise applications via APIs and cloud deployments (AWS/Azure/GCP).
Identify, evaluate, and mitigate AI-related risks; implement guardrails and responsible AI practices.
Ensure GDPR compliance and AI governance throughout the lifecycle of AI solutions.
Leverage business information domains to design practical AI solutions for corporate, financial, and risk data.
Optimize AI workloads for performance, cost, latency, and token efficiency.
Collaborate with product managers, engineers, and stakeholders and document architecture and standards.

Skills

Python

SQL

English communication

Data storytelling

Education

Master's degree in Computer Science or Data Engineering

Tools

LangChain

LlamaIndex

Semantic Kernel

OpenAI

Azure OpenAI

Claude

Gemini

Docker

Kubernetes

Job description

Making trade happen

Coface is a team of 4,500 people of 78 nationalities across nearly 60 countries, all sharing a corporate culture across the world. Together, we work towards one objective: facilitating trade by helping our 50,000 corporate clients develop their businesses.

With 75 years of experience, Coface is a leader in the credit insurance and risk management market. We have also developed a range of other value-added services, including factoring, debt collection, Single Risk insurance, bonding, and information services.

As a close-knit, international organization at the core of the global economy, Coface offers enriching work experience on several levels: relational, professional, and cultural.

Every day, our teams are making trade happen. Join us!

We are looking for an experienced Senior Data & AI Engineer to lead the development of scalable data pipelines and operational AI solutions. In this role, you will work closely with our Business Information teams to deliver innovative solutions based on company, financial, and risk data. Key responsibilities include implementing LLM-powered applications, generative AI use cases, RAG frameworks, and AI agents, while ensuring compliance with security and responsible AI standards. The emphasis is on deploying and integrating AI solutions into enterprise environments rather than training models from the ground up. Strong professional English communication skills are required.

Key Responsibilities

Design, develop, and maintain scalable data pipelines (ETL/ELT), ensuring high data quality and reliability to support AI, analytics, and business intelligence initiatives.
Build and deploy AI-powered solutions leveraging Large Language Models (LLMs) and Generative AI technologies (GPT, Claude, Gemini, and open-source models)
Architect and implement Retrieval-Augmented Generation (RAG) solutions using vector databases to deliver accurate, context-aware AI applications.
Develop intelligent AI agents and multi-agent systems, apply advanced prompt engineering, orchestration frameworks, and tooling such as LangChain, LlamaIndex, and Semantic Kernel.
Integrate AI capabilities into enterprise applications through APIs and microservices and manage deployment and operations on cloud platforms such as AWS, Azure, or GCP.
Identify, evaluate, and mitigate AI-related risks, including prompt injection, data leakage, and hallucinations, while implementing robust guardrails and Responsible AI best practices.
Ensure compliance with data privacy regulations (GDPR) and emerging AI governance frameworks throughout the entire AI solution lifecycle.
Leverage expertise in business information domains, including corporate, financial, and risk data, to design solutions that address real-world business challenges.
Optimize AI workloads for performance, scalability, cost efficiency, latency, and token consumption in production environments.
Collaborate closely with product managers, software engineers, data professionals, and business stakeholders to translate requirements into technical solutions, while documenting architecture, standards, and best practices.

You are likely to be successful in this role if you have:

A Master's degree in Computer Science, Data Engineering, or a related field.
At least 5 years of experience in software or data engineering, including 2+ years working with AI, Generative AI, or Large Language Models (LLMs).
Strong expertise in Python and SQL, with hands‑on experience designing and maintaining robust data pipelines.
Proven experience building AI applications using technologies such as OpenAI, Azure OpenAI, Claude, Gemini, or open‑source LLMs.
Experience implementing RAG architectures, vector databases, and AI orchestration frameworks such as LangChain, LlamaIndex, or Semantic Kernel.
Knowledge of cloud environments such as AWS, Azure, or GCP, including deploying AI solutions in production.
A solid understanding of AI security, responsible AI practices, data privacy, and governance requirements.
Excellent communication skills and the ability to collaborate effectively with both technical and business stakeholders.
Fluent professional English, both written and spoken.

Personal qualities we value:

Curiosity and a passion for innovation.
Pragmatic problem-solving skills.
A collaborative mindset and strong ownership.
The ability to thrive in a fast-evolving AI environment while maintaining high quality and security standards.

What will set you apart: