Syensqo is all about chemistry. We’re not just referring to chemical reactions here, but also to the magic that occurs when the brightest minds get to work together. This is where our true strength lies. In you. In your future colleagues and in all your differences. And of course, in your ideas to improve lives while preserving our planet’s beauty for the generations to come.
Job overview and responsibilities
Syensqo initiated a fundamental transformation and this transformation positioned digital technologies as key drivers to make it happen. It requires us to change the way we operate and leverage the tremendous amount of knowhow, knowledge, structured and unstructured datasets that today exist in the Group.
Syensqo has decided to create a startup team, Syensqo.ai, dedicated to the AI and Generative AI domain. By taking this role, the Senior AI Software Engineer will join this team right at its inception. Its mantra is simple: deliver value, with speed and agility while taking no compromise on cybersecurity, compliance, ethics, guardrails or regulations. S/he will contribute to the growth and development of this startup by maintaining a strong focus on excellence and implementing prioritized solutions in a fast and agile manner.
With a commitment to innovation, excellence and sustainable growth, we are looking for a talented Senior AI Software Engineer to join our team and drive the creation of cutting-edge AI solutions. In our agile and collaborative work environment we have fun to live our motto: advancing humanity.
The position reports to the Technical Lead. S/he will be responsible for:
AI Integration: Implement and integrate AI technologies, such as Generative AI, machine learning models, or NLP, to enhance our platform’s capabilities, optimize processes, and improve user experiences
Platform Development: Design, develop, and maintain scalable AI platform features to enable feature teams, while ensuring they are compatible with other services, and APIs
Rapid Problem-Solving: Quickly fix bugs and solve problems, particularly related to AI performance, model integration, or data pipeline issues, to enhance customer satisfaction
Continuous Improvement: Participate in code reviews and contribute to improving our AI development processes, ensuring that the AI components are scalable, efficient, and maintainable
Provide hands-on coaching, technical guidance, and structured feedback through code reviews, design sessions, and pair working
Specific Knowledge/Experience:
