AI Engineer (NLP LLM Applications)

Link Humans • Remote, GB

Actively Hiring

Full-time Posted about 2 months ago

Responsibilities

check_circle Build and maintain AI-powered pipelines for text classification, sentiment analysis, topic detection, entity extraction, summarisation, and insight generation.
check_circle Use LLMs, embeddings, transformer models, and traditional NLP methods where they are most useful.
check_circle Design prompts, structured outputs, validation checks, and evaluation workflows for reliable AI-assisted analysis.
check_circle Use AI coding tools effectively to speed up development while still owning code quality, testing, and maintainability.
check_circle Improve existing Python pipelines, notebooks, scripts, and internal tools.
check_circle Work with messy, real-world text data and turn it into clean, structured, usable outputs.
check_circle Integrate AI workflows with Google Sheets, APIs, internal systems, and research processes.
check_circle Evaluate model and LLM performance through metrics, error analysis, manual review, and business-quality checks.
check_circle Collaborate with data and client-facing teams to translate business needs into working AI solutions.
check_circle Keep improving how we use AI internally, from automation and quality control to new product capabilities.

Strong Python skills.
Experience in NLP, machine learning, and LLMs.
Comfortable using modern AI development tools such as Claude, Cursor, ChatGPT, GitHub Copilot, or similar tools.
Experience with LLM APIs, prompt design, structured outputs, embeddings, or evaluation workflows.
Familiarity with tools and libraries such as pandas, scikit-learn, spaCy, Hugging Face, sentence-transformers, PyTorch, TensorFlow, or OpenAI APIs.
Good understanding of text classification, sentiment analysis, semantic similarity, transformer models, and model evaluation.
Experience using Git and working with version-controlled code.
Ability to work independently, ask good questions, and turn unclear business problems into working technical solutions.
Interest in employer reputation, workplace culture, employee experience, and business research.

Fulltime Remote Ai Ai Engineer Machine Learning Nlp Generative Ai