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.

• Generative AI frameworks and tools such as Lang Chain, Llama Index, 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. Tru Lens, Lang Smith)
• Deploying solutions in modern cloud and Dev Ops environments (AWS, Azure, GCP)
• Continuous experimentation, learning and knowledge sharing within an internal AI community

• Live & active DV clearance is required for this role
• Experience with in 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 Dev Ops / Dev Sec Ops  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.