AI Engineer (Generative AI & LLMs)

• Design, develop, and maintain LLM-powered applications and multi-agent AI systems.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking, embeddings, and semantic search.
• Implement and manage vector databases to enable efficient AI-powered information retrieval.
• Develop scalable backend services and APIs using Python and FastAPI.
• Build and maintain data pipelines using tools such as Apache Airflow.
• Deploy and manage AI workloads on AWS using services such as Bedrock, SageMaker, Lambda, S3, and Aurora.
• Evaluate and improve LLM performance through automated testing and human-in-the-loop validation.
• Collaborate closely with Product Managers, Data Engineers, and business stakeholders to deliver innovative AI solutions.
• Mentor junior engineers and contribute to AI engineering best practices.
• Stay up to date with the latest trends in Generative AI and continuously explore new technologies.

• 3-5+ years of experience in Software Engineering, with at least 1-2 years focused on AI/ML or Generative AI.
• Strong programming skills in Python.
• Hands-on experience building LLM-based applications using frameworks such as LangChain, LangGraph, CrewAI or similar.
• Solid experience designing and implementing RAG architectures.
• Experience working with LLM APIs such as OpenAI, AWS Bedrock, Anthropic, or similar.
• Knowledge of vector databases (Pinecone, OpenSearch, pgvector, or equivalent).
• Experience with AWS Cloud services.
• Experience with Docker and Kubernetes.
• Familiarity with data orchestration tools such as Apache Airflow.
• Experience working in Scrum/Agile environments.
• Strong communication, analytical, and problem-solving skills.

• Will have access to confidential information related to the company and the project.
• Must comply with the security policies and internal policies of the company and its clients.

€1,200 per year for training of your choice.

Flexible working hours.

More than 550 qualified professionals representing up to 24 nationalities.

Capitole-sponsored football team.

Technology communities where you can share your knowledge and ideas with other teams. Sharing knowledge across the company is essential to us!