AI Engineer

We are looking for an experienced Senior Data & AI Engineer to lead the development of scalable data pipelines and operational AI 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.

Qualifications :

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

• A Masters 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.

Additional Information :

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

Coface is a disability-friendly employer and is committed to welcoming and supporting people with disabilities.

Remote Work :

No

Employment Type :

Full-time