Remote Applied AI Engineer — LLM & NLP in Production

Toku Ltd.; Rotterdam; On-site; EUR 110,000 - 145,000; Full time

Benefits offered by this job

Training and Development

Discretionary Yearly Bonus & Salary | 

Healthcare Coverage

20 days Paid Annual Leave

Job summary

Toku Ltd. is seeking an Applied AI Engineer to build real-world AI capabilities across NLP, speech-to-text, and LLM-driven features in production. You will work closely with engineering teams to integrate models and deliver practical improvements in live systems.

You will use Python-based AI development (e.g. PyTorch) and AWS tooling to enhance latency, accuracy, and reliability, while contributing to prompt design and model optimisation in a scalable microservices environment.

Qualifications

• Strong hands-on experience with LLMs, NLP, or speech technologies, including training, fine-tuning, and evaluating models in real-world or production contexts
• Practical experience with Python-based AI development (e.g. PyTorch and related ecosystems)
• Hands-on experience reading, evaluating, and applying AI/ML research and translating those insights into production-ready model improvements
• A strong foundation in AI/ML fundamentals, typically supported by an academic background in AI, machine learning, computer science, or a closely related field

Responsibilities

• 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
• Integrate models into existing backend services using Python-based APIs and collaborate 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
• Communicate progress, trade-offs, and technical decisions clearly in planning and delivery discussions

Skills

LLMs

NLP

Speech-to-text

Python

PyTorch

RAG

Vector retrieval

Model deployment

Research

Education

AI/ML/CS degree

Tools

Docker

SageMaker

AWS

Git

MLflow

Job description

Toku Ltd. is seeking an Applied AI Engineer to build real-world AI capabilities across NLP, speech-to-text, and LLM-driven features in production. You will work closely with engineering teams to integrate models and deliver practical improvements in live systems.

You will use Python-based AI development (e.g. PyTorch) and AWS tooling to enhance latency, accuracy, and reliability, while contributing to prompt design and model optimisation in a scalable microservices environment.