About the role

AI Engineer designing and optimizing AI solutions focusing on LLMs within a hybrid team at KPI. Leading development and deployment of AI-driven strategies using Azure.

Responsibilities

Design, develop, and deploy AI models and services, with a focus on LLMs and generative AI technologies
Evaluate the quality, performance, and ethical alignment of LLM outputs across business use cases
Develop and implement scalable AI workflows using Python, ML libraries, and Azure Machine Learning
Collaborate with cross-functional teams to integrate AI models into client applications and platforms
Apply DevOps/MLOps practices for continuous integration, automated testing, and model deployment
Lead technical discussions with clients and internal stakeholders in both French and English
Maintain high standards of code quality, performance, and documentation
Stay up to date with the latest trends and advancements in AI, machine learning, and cloud services

7+ years of experience in software development or AI engineering roles
Strong programming skills in Python and ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace)
Proven experience working with LLMs, NLP pipelines, and prompt engineering techniques
Deep understanding of DevOps or MLOps pipelines (CI/CD, version control, containerization, etc.)
Experience with cloud infrastructure (preferably Azure) and AI-related services
Strong ability to independently manage and deliver projects from concept to production
Demonstrated capacity to critically assess model outputs, including bias, hallucination, and relevance
Bilingual proficiency in French and English (oral and written) is required
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field