AI Language Engineer (AI)

TL;DR

AI Language Engineer (AI): Designing, building, and enhancing natural language systems for text and speech domains with an accent on linguistic insight and applied NLP expertise. Focus on advancing language understanding, generation, and evaluation for intelligent contact center products through scalable AI engineering.

Location: Must be based in the United Kingdom

Company

hirify.global is an AI-powered platform born from Stanford AI lab that transforms customer contact center conversations into competitive advantages.

What you will do

• Design and refine LLM workflows including prompt engineering and evaluation frameworks.
• Build language processing features such as intent detection, entity recognition, and RAG.
• Develop and evaluate speech-to-text (ASR) and text-to-speech (TTS) workflows.
• Analyze model performance and conversational data to identify patterns and failure modes.
• Lead data preprocessing, annotation, and the creation of language evaluation corpora.
• Collaborate with product and engineering teams to integrate models into scalable production systems.

Requirements

• Location: Must be based in the United Kingdom
• Bachelor’s or Master’s degree in Computer Science, Computational Linguistics, AI, Machine Learning, or related field.
• Demonstrated experience applying NLP techniques such as classification, entity extraction, and RAG.
• Strong programming skills in Python and familiarity with NLP/AI frameworks like Hugging Face or PyTorch.
• Experience with model evaluation, data preprocessing, and language dataset design.
• Strong analytical and cross-functional communication skills.

Nice to have

• Doctor’s degree in a relevant technical or linguistic field.
• Experience with speech processing (ASR/TTS) and audio feature pipelines.
• Familiarity with multilingual NLP challenges and cross-locale language modeling.
• Background in production deployments, MLOps, and cloud environments like AWS, GCP, or Azure.