LLM Engineer

• Train, fine-tune, evaluate, and improve NLP, speech-to-text, and LLM-based models used in production environments
• Work hands-on with chatbots, summarisation, and language understanding features, including retrieval-augmented generation (RAG) and vector-based retrieval systems
• Design and run model evaluations, benchmarking existing approaches and validating improvements before deployment
• Read, assess, and experiment with relevant AI/ML research and emerging techniques, translating promising ideas into practical, production-ready solutions
• Contribute to prompt design, model optimisation, and iterative experimentation to improve accuracy, latency, and reliability of deployed models
• Integrate models into existing backend services using Python-based APIs, collaborating closely with backend engineers
• Ensure models are production-ready, maintainable, and resilient when deployed in live customer-facing systems
• Support investigation and resolution of AI-related production issues in collaboration with engineering and platform teams
• Work closely with engineering teams to align AI capabilities with product requirements and platform constraints
• Communicate progress, trade-offs, and technical decisions clearly in planning and delivery discussions

Applied AI Engineer focusing on LLM & NLP for enterprise CX solutions

Applied AI Engineer – LLM, NLP

Applied AI Engineer focusing on building AI capabilities in speech-to-text and chatbots for enterprise customer engagement solutions at Toku.

LLM Engineer jobs in Netherlands

See all jobs on JobTailor

Applied AI Engineer – LLM, NLP