AI Engineer

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.