Applied AI Engineer - LLM & NLP

Toku Ltd; United States; Remote; USD 110,000 - 150,000; Full time

Benefits offered by this job

Job summary

Toku Ltd is seeking an experienced AI/ML engineer focused on production-ready NLP and speech capabilities. You will train, fine-tune, evaluate, and enhance LLMs and NLP pipelines used in live services, including retrieval-augmented generation and vector search.

You will implement Python-based APIs, collaborate with backend teams, and help ensure production readiness through monitoring and iteration of models in production environments.

Qualifications

• Hands-on experience with LLMs, NLP, or speech technologies, including model training, fine-tuning, and evaluation.
• Practical Python AI development experience, e.g. with PyTorch and related tools.
• Strong AI and ML fundamentals, supported by study or equivalent expertise.
• Experience applying research or benchmark findings to practical model improvements.
• Experience deploying or supporting models in production, including monitoring and iteration.
• Ability to integrate models through Python APIs in a microservices environment, with familiarity with RAG, embeddings, and vector retrieval.

Responsibilities

• Train, fine-tune, evaluate, and improve NLP, speech, and large language models used in production.
• Develop chatbot, summarisation, and language-understanding capabilities, including retrieval-augmented generation and vector search.
• Design benchmarks and evaluations to compare approaches and validate model improvements.
• Assess relevant research and emerging techniques, then apply useful findings to production systems.
• Integrate models into backend services through Python APIs and collaborate with backend engineers.
• Support production readiness and investigate issues involving deployed AI features.

Job description

Role overview

Build and improve production AI capabilities for speech-to-text, chatbots, summarisation, and language understanding. The role combines hands-on model development and applied research with the practical work of integrating, evaluating, and supporting AI features in live services.

Responsibilities

• Train, fine-tune, evaluate, and improve NLP, speech, and large language models used in production.
• Develop chatbot, summarisation, and language-understanding capabilities, including retrieval-augmented generation and vector search.
• Design benchmarks and evaluations to compare approaches and validate model improvements.
• Assess relevant research and emerging techniques, then apply useful findings to production systems.
• Integrate models into backend services through Python APIs and collaborate with backend engineers.
• Support production readiness and investigate issues involving deployed AI features.

Requirements

• Hands-on experience with LLMs, NLP, or speech technologies, including model training, fine-tuning, and evaluation.
• Practical Python AI development experience, such as with PyTorch and related tools.
• Strong AI and machine learning fundamentals, supported by relevant study or equivalent expertise.
• Experience applying research or benchmark findings to practical model improvements.
• Experience deploying or supporting models in production, including monitoring and iteration.
• Ability to integrate models through Python APIs in a microservices environment, with familiarity with RAG, embeddings, and vector retrieval.
• Proactive problem solving and clear collaboration across engineering disciplines.

Nice to have

• Working knowledge of AWS and AI tooling such as EC2, SageMaker, MLflow, or Docker.

Benefits and work setup

Remote or hybrid work based in the Netherlands (Rotterdam preferred), Singapore, or Hong Kong. Benefits include training and development, a discretionary annual bonus and salary review, location-based healthcare coverage, 20 days of paid annual leave (15 for Malaysia-based roles), and other leave allowances.