AI Engineer

UK-based candidates only

Job Summary:

One of our clients is looking for an AI Engineer to design, build, deploy, and maintain production-grade AI and Generative AI applications. The ideal candidate combines strong software engineering fundamentals with hands-on experience building solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, machine learning, and cloud technologies.

You will work closely with product, engineering, data, and business teams to translate real-world problems into scalable, reliable AI solutions.

Key Responsibilities:

• Design and develop AI/ML and Generative AI applications for business use cases.
• Build LLM-powered applications using APIs and/or open-source models.
• Develop RAG pipelines, embeddings, vector search, and knowledge-retrieval systems.
• Design and implement AI agents, tool calling, workflows, and orchestration.
• Develop prompts, structured outputs, guardrails, and fallback mechanisms.
• Build evaluation frameworks to measure accuracy, relevance, reliability, latency, and cost.
• Integrate AI capabilities into existing web applications, APIs, and enterprise systems.
• Develop and deploy scalable AI services using Python and modern backend frameworks.
• Fine-tune or adapt ML/LLM models when appropriate for the use case.
• Implement monitoring, logging, testing, and observability for AI applications.
• Optimize model performance, inference latency, token usage, and infrastructure costs.
• Work with cloud platforms such as AWS, Azure, or GCP.
• Collaborate with data scientists and software engineers on end-to-end AI solutions.
• Stay current with developments in LLMs, GenAI, ML frameworks, and AI engineering practices.