AI Engineer developing and deploying NLP and LLM applications for a cloud-based platform. Collaborating with teams to enhance user experiences on a global SaaS portfolio in a hybrid environment.
Responsibilities
Design and implement innovative AI services to enhance the user experience across our global SaaS portfolio.
Build, fine-tune, and deploy NLP and LLM applications (e.g., entity resolution, intelligent search, document understanding).
Optimize provisioning of AI services for performance and scalability across a growing international customer base.
Leverage observability tools and user/system data to generate actionable insights and continuously improve platform intelligence.
Collaborate with cross-functional teams to integrate AI-driven features into modern, cloud-native applications.
Requirements
Minimum of 3 years of professional experience in the AI field
Strong proficiency in **Python** and hands-on experience with key Python packages for machine learning and data science.
Production experience with **NLP solutions**, including transformer-based models, entity recognition, and classification tasks.
Practical knowledge of **LLMs**, including prompt engineering, retrieval-augmented generation (RAG), and structured output generation.
**Containerization expertise** using Docker or similar tools for model packaging, deployment, and scalability.
Nice to have
Exposure to multi-lingual NLP or handling diverse text data.
Previous work on ESG or compliance-related applications is a plus.
Recent hands-on experience with modern NLP approaches is highly valued—even if this isn’t your primary specializations.
Benefits
A purpose-driven mission with and for global industry pioneers in tackling complex challenges
Room for creativity through collaborative teamwork and an open communication culture
Flexibility and team bonding with our hybrid work options
Fuel for your growth journey, both personally and professionally
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