This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
We are currently looking for a candidate for the position of AI Engineer (he/she) for our client from the pharmaceutical industry. The project is focused on designing and developing advanced AI-powered platforms leveraging LLMs, RAG architectures, multi-agent systems, and orchestration frameworks to support complex enterprise workflows and decision-making processes. The environment is highly engineering-driven, with strong emphasis on scalability, reliability, observability, and production-quality AI deployments.
Job Responsibility
Designing and developing enterprise-grade GenAI and Agentic AI solutions
Building and maintaining RAG pipelines, AI agents, and orchestration workflows
Creating scalable AI architectures using LangChain, LangGraph, and related frameworks
Implementing prompt engineering strategies and optimizing LLM performance
Developing backend services and APIs supporting AI-powered applications
Integrating AI solutions with enterprise systems, data sources, and external services
Managing AI deployment lifecycle, monitoring, observability, and reliability processes
Collaborating with cross-functional teams to gather requirements and deliver business value
Participating in architecture discussions, code reviews, and technical decision-making
Supporting CI/CD processes, containerized deployments, and cloud infrastructure management
Contributing to continuous improvement of AI engineering standards, best practices, and platform capabilities
Requirements
Have strong commercial experience with Generative AI, Large Language Models (LLMs), and Agentic AI systems
Have hands-on experience designing and implementing RAG architectures, AI agents, and orchestration workflows
Are proficient in Python and comfortable building production-grade backend services and AI integrations
Have experience with LangChain, LangGraph, or similar AI orchestration frameworks
Understand prompt engineering, model evaluation, observability, and LLMOps best practices
Have practical experience deploying AI solutions in AWS environments, including Bedrock and related AI services
Are familiar with Docker, CI/CD pipelines, cloud-native architectures, and scalable distributed systems
Can translate business requirements into technical AI solutions and work effectively in international Agile teams
Nice to have
Experience with multimodal AI models (text, image, audio)
Familiarity with Azure AI services and cloud environments
Experience with MCP (Model Context Protocol) and tool-calling architectures
Background in traditional Machine Learning, Deep Learning, or Data Science
Experience working in enterprise-scale or regulated environments
Knowledge of AI evaluation frameworks, guardrails, and responsible AI practices
What we offer
Long-term collaboration
Technical training, certifications, and skills development
Competence Center mentoring
Clear career path
Employee benefits package (Multisport, private healthcare, life insurance)
Friendly working atmosphere, team-building events, and team-building meetings