Senior Symbolic AI Engineer

Company Description Logoi.ai is focused on enabling businesses to communicate seamlessly across borders through advanced real-time language translation. The company offers solutions designed to help organizations “speak natively, communicate globally,” supporting over 400 languages in live interactions. Logoi.ai provides an all-in platform for business communication needs, helping teams engage customers and partners worldwide. The team combines cutting-edge AI technologies with practical applications to create robust, scalable language solutions for global enterprises. Role Description As a Senior Symbolic AI Engineer at logoi.ai, you will design, implement, and optimize symbolic reasoning systems that integrate with machine learning and NLP pipelines used in real-time language translation. You will work on developing knowledge representations, rule-based engines, and hybrid AI architectures that improve translation accuracy, context understanding, and business logic enforcement. Day-to-day, you will collaborate with product and engineering teams to translate requirements into technical designs, write production-grade code, perform experiments, and evaluate system performance. You will review and optimize existing algorithms, contribute to architectural decisions, and mentor other engineers in best practices for symbolic and hybrid AI. This is a full-time, on-site position based in Paris. Qualifications
- Strong foundation in Computer Science and Software Development, including data structures, algorithms, and building scalable, production-quality systems.
- Expertise in Pattern Recognition and Neural Networks, with experience designing and integrating learning-based models into larger AI workflows.
- Hands-on experience with Natural Language Processing (NLP), especially in multilingual or translation-focused applications.
- Proficiency in symbolic AI methods (e.g., logic-based reasoning, knowledge representation, rule engines) and hybrid symbolic–neural architectures.
- Advanced programming skills in languages commonly used for AI (such as Python, Java, or C++), and familiarity with relevant frameworks and tooling.
- Experience working in collaborative engineering environments, including code reviews, version control, testing, and continuous integration.
- Master’s or PhD in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field, or equivalent practical experience.
- Ability to operate in an on-site, cross-functional team setting in Paris; professional proficiency in English, and French is a plus.