Liverpool
Job Title: AI Engineer Location: Hybrid (UK wide, multiple roles) Employment Type: Permanent Salary: Competitive Start Date: Immediate Industry: IT Services & Consulting DV clearance is required for this role due to the secure nature of the projects. A leading digital and data consultancy is growing its AI capability and is looking for software engineers and data scientists with a passion for Generative AI to join its Digital & Data community. This role sits at the intersection of engineering, AI experimentation, and real-world delivery. You’ll work in cross-disciplinary teams alongside product, design and engineering experts to explore, prototype and scale modern AI solutions that solve complex client problems. You’ll be hands-on with emerging technologies, given the freedom to experiment, and supported by a strong internal AI community that values curiosity, learning and shared progress. AI Engineer – Key Responsibilities • Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic, • Building RAG (Retrieval-Augmented Generation) prototypes using vector stores and knowledge graphs, • Developing and testing agentic architectures enabling AI agents that reason, retrieve and act across systems, • Exploring LLMOps, evaluation tools and observability platforms (e.g. TruLens, LangSmith), • Deploying solutions in modern cloud and DevOps environments (AWS, Azure, GCP), • Continuous experimentation, learning and knowledge sharing within an internal AI community AI Engineer – Key Skills Required • Live & active DV clearance is required for this role, • Experience within secure public sector/government environments is key, • A software engineer with a strong interest in AI, or a data scientist with an engineering mindset, • Someone who experiments, prototypes and explores AI tools in your own time, • Comfortable with at least one language suited to AI systems and data workflows, • Experienced integrating models with APIs, data sources or production systems, • Curious about LLMs, RAG pipelines (vector and graph-based), and agent frameworks, • Familiar with cloud-native platforms (AWS / Azure / GCP) and DevOps / DevSecOps practices, • Collaborative, curious, and keen to learn and share knowledge, • Knowledgeable in prompt/context engineering, model evaluation, and LLMOps concepts, • Comfortable with distributed systems, microservices and RESTful APIs Please apply now if this role is of interest.