Posted Mar 12, 2026
Who We Are:
Enhesa is the leading provider of regulatory and sustainability intelligence worldwide. As a trusted partner, we empower the global business community with the insight to act today and prepare for tomorrow to create a more sustainable future - positively impacting our environment, our health, our safety, and our future. Navigating the fast-changing compliance and sustainability landscapes, we help them understand not just what they should do (first) but also how to do it. Both in their unique business and anywhere in the world. Now and in the future. Our Mission:
Enhesa’s core clients include Fortune 500 multinational companies. For more information, visit www.enhesa.com
As part of our highly dynamic team, we offer:
Overview of the position
The Senior AI Engineer collaborates with other expert talents to develop, maintain, and assist in the deployment of NLP, traditional statistical methods, supervised, and unsupervised algorithms to drive efficiency of search, content creation, improve our customer experience, and leverage data to create novel product offerings. In addition to the required technical skills, the Senior AI Engineer has great organizational and communication skills and understands the challenges relating to working with different languages. The Senior AI Engineer is expected to keep up with the latest developments in the field of Artificial Intelligence engineering and be prepared to think creatively and apply novel techniques while solving business problems.
Experience
At least 3 years of experience as an Engineer OR
5+ years, if the highest education is a bachelor’s degree. Technical Skills:
Expertise in the Scala programming language and the Play Framework is desired, but not mandatory. - Advanced Elasticsearch experience. - Postgres database or other relational database experience. - Experience in content apps. - Experience in microservices. - Knowledge of a variety of AI techniques - such as natural language processing, classification, clustering, optimization, and deep neural networks - along with a solid understanding of their mathematical foundations and real‑world advantages and drawbacks, is preferred. - Knowledge of data structures, semantic extraction, and text representation in an NLP context. - Proficiency in Python (OOP) preferred. - Experience in using technologies such as Docker. Azure, GCP, and AWS. - Experience in creating APIs (RESTful, Asynchronous, etc.). - Familiarity with the concepts and applications of LLMs is a plus. - Ability to write clean, production-ready code. Other Skills:
Fluency in English is required. Any additional language skills are an asset. - Any other core skills to bring to the team are a huge plus, such as frontend development, experience administering cloud systems, deploying serverless cloud technology, deep Linux knowledge, etc. - In order to fit in our collaborative and international environment, you are creative, dynamic, and are able to work independently yet transparently towards colleagues. - In addition, you are also a strong team player, both with colleagues as well as with external partners. - Both individual and team problem-solving skills are crucial in this position. If you are ready to join our journey, please apply!
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