AI Engineer
Skills
About the role
Applied AI Engineer
A fast-growing AI-first technology company is looking for an Applied AI Engineer to join their team building next-generation AI products powered by large language models and intelligent agent systems.
Successful candidates will build and deploy AI features from end to end, turning cutting-edge model capabilities into reliable, production-ready products. You will work across machine learning, software engineering, and product to design agent workflows, optimise inference, improve model behaviour, and build scalable AI systems used in real-world applications.
Ideal candidates will have knowledge of:
• Python
• Large Language Models (OpenAI APIs, Llama, Qwen or similar)
• PyTorch and/or JAX
• Prompt engineering and agent workflows
• AI orchestration frameworks and tool calling
• Model fine-tuning and deployment
• Inference optimisation (e.g. vLLM)
• Vector databases and retrieval systems (RAG)
• Production ML systems and evaluation frameworks
• Data pipelines and model serving
• Performance optimisation for latency, scalability and cost
• Building robust, production-quality software
• Cross-functional collaboration with product and engineering teams
• Debugging AI systems across models, infrastructure and user experience
Key words: Applied AI / Machine Learning Engineer / LLM / Generative AI / AI Engineer / Python / PyTorch / JAX / OpenAI / Llama / Qwen / Agentic AI / AI Agents / Prompt Engineering / RAG / Vector Database / vLLM / Model Serving / MLOps / Production AI / AI Infrastructure / Neural Networks / Machine Learning
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