AI Engineer

About the company

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.

Your tasks

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.

• 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.

Requirements

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

• Experience with AI agents and multi-agent systems.
• Familiarity with AI guardrails, model evaluation, and AI governance frameworks.
• Knowledge of financial, corporate, or risk information domains.
• Experience with Docker, Kubernetes, and modern software engineering practices.

What we offer

• Regular remote working possible.
• Reimbursement of 50% of public transportation costs.
• Meal vouchers for each day worked remotely.
• Remote work allowance.